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16 of the most interesting startups from YC W’26 Demo Day | TechCrunch

16 of the most interesting startups from YC W’26 Demo Day | TechCrunch

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AI was once again the buzzword for this latest batch of YC Demo Day companies. Nearly 190 companies participated in Y Combinator’s Winter ‘26 cohort and presented their startups in a Demo Day on Tuesday. 

These companies are working on products across industries such as law, transportation, and healthcare.  

I did not, admittedly, listen to every single product pitch given the sheer size of the cohort and this year’s Demo Day format available to media: YC posted the pitch videos, one by one, around 20 minutes after their presentations (rather than a livestream, or an in-person session invite).  

Instead, I read about all 190 of the startups presenting and spent the day watching pitches from those we found intriguing, then narrowed it down to the 16 that stood out as the most interesting startups of this overflowing YC class. 

ARC Prize Foundation 
What it does: Creates benchmarks to help measure progress toward AGI.  

Why it’s interesting: A nonprofit in YC! But then again, when OpenAI, Anthropic, and GoogleMind are already using some form of the organization’s benchmarks, it makes sense why it would be included. This foundation aims to inspire more open-source AGI research by hosting competitions and awarding research grants. One reason for this AI revolution is to reach AGI (which Nvidia CEO Jensen Huang says has already arrived), and it will be a matter of historical record for tracking how close or we are from AI machines that have a general intelligence. 

Asimov  
What it does: Collects human movement data to train humanoids  

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Why it’s interesting: People from around the world submit videos of themselves performing movements and tasks and to this company so it can then turn it into datasets that can help train robots. It’s part of the movement trying to make humanoids a thing, finding uses for them beyond the supply chain and entertainment. I’m bullish on humanoid technology, even though our “Rosey the Robot” era still might be eons away. Using data to teach humanoids the flow and — dare I biasly say, elegance — of human movement could help them less, well, robotic as they perform tasks.  

Avoice  
What it does: Helps automate the tedious non-design work for architecture firms  

Why it’s interesting: It’s not every day you hear about new technology targeting the architectural industry. The founders themselves noted that this market is underserved (though rich in potential). This tool uses AI to help automate tasks that creative types like architects my find tedious like reviewing specifications, drawings, contracts and proposals.  

Button Computer 
What it does: A wearable AI  

Why it’s interesting: Everyone is trying to make wearable AI a thing as the world awaits OpenAI’s product from its acquisition of Johnny Ive’s company. Two former Applers (can I call them that?) have joined together to launch Button, essentially a tiny computer, the founders explained, that’s built for AI. Button connects to apps like email, Slack, and Salesforce and operates them via voice command to perform certain tasks. The next must-have hardware is likely to be some form of AI wearable, so it’s interesting to see what’s emerging.  

CodeWisp 
What it does: Let’s anyone build games using AI  

Why it’s interesting: The founders say all you have to do is tell an AI how to make a game, and it will make the game. That’s fun, creative, exciting! I tried to build games as a child and always found it hard and tedious, but the excitement of imaging designing one never went away. While vibe coding has become the rage for building apps, tools like this make imaginative execution much easier. Maybe this will be the next generation of vibe building.  

Crosslayer Labs  
What it does: Helps detect website spoofs  

Why it’s interesting: The rise of agentic tools means that websites are becoming easier to spoof with the bad guys are not shying away from using this tech to scam people. Crosslayer Labs helps its customers detect and monitor their online setups so they can stay protected against this shade of emerging internet threats.  

Doomersion  
What it does: Teaches you languages as you doomstroll 

Why it’s interesting: We spend way too much time doomstrolling, just filling our brains with slop that ends up either irritating us or atrophying our brains. This startup is an app that shows users short videos, like how they would see and scroll through them on a TikTok feed, in the language they are trying to learn. If there should be some meaning to all the content we stuff into our heads all day, what a brilliant way to find that. It combines what consumers won’t stop doing (spending hours on their phone swiping through content) with something as cool as language learning. Très intéressant. 

Lexius 
What it does: Embeds advanced AI into security systems  

Why it’s interesting: This uses AI to enhance existing security camera systems, enabling footage to detect and report instances of theft or falls, replacing a fragmented, mainly manual process. The startup says its targeted businesses that have cameras without AI intelligence, where a camera might catch an incident, but the company is delayed in taking any action. 

Librar Labs 
What it does: An AI-powered library management system tool  

Why it’s interesting: This is AI touching one of those industries that the tech industry often overlooks — libraries. This startup has created an AI-powered library management system to specifically help, as of right now, schools with inventory and cataloguing. As the founder said in his pitch, there isn’t much competition when it comes to automating or innovating the tools already used in this space, making any new idea a contender for “the next big thing.”  

Milliray 
What it does: Radar system to help track small drones  

Why it’s interesting: Defense tech is one of the hottest categories in tech right now. As the founder of this company said, right now, people are in the fields doing everything they can to track tiny drones, but the human eye can miss so much or mistake a tiny drone for a bird and vice versa. This startup uses sensors to identify what is actually a tiny drone in the sky. Given the current state of geopolitics, new technology is needed — and emerging — so that every country can stay ahead of the game and its enemies.  

MouseCat  
What it does: Uses AI to investigate fraud  

Why it’s interesting: AI is a great tool for work, and that holds true for those whose work is fraud and scamming. This company pulls a company’s data from the large cloud storage like Databricks or Snowflake, analyzes consumer data and activity for anything suspicious, and gives recommendations on how to take action. AI-native tools like this are important when it comes to keeping up with the bad AI that is also capable of unleashing.  

Opalite Health  
What it does: Uses AI to help healthcare providers talk to non-English speakers 

Why it’s interesting: There is much left up to interpretation when two people cannot understand each other. In the medical world, it could be life or death. This AI medical translator helps break the language barrier, enabling healthcare providers to understand patients who speak a different language. In a globalized world (and in a country as diverse as America), it’s important for people to be able to access the healthcare they need, regardless of language. Of course, this idea isn’t completely original, as a number of other startups and healthtech providers offer a similar service. 

Sequence Markets  
What it does: Let’s people trade across various markets, like crypto and prediction, on one system.  

Why it’s interesting: As someone who likes everything in one place, I understand wanting a less fragmented process when executing trades in these markets. It’s the same reason I still like going to big-box retailers to buy brands (I like to see all my options at once).  

ShoFo  
What it does: A video library of basically everything 

Why it’s interesting: This startups is billing itself as the “world’s video library,” which is pretty cool if you ask me. I grew up on YouTube and Tumblr and remember how delicate search was back then, when you were looking for something specific. Though this is more of a custom video index to help AI Labs find diverse datasets efficiently, I love any tool that makes searching and organizing easier.  

Sonarly  
What it does: Helps software fix its own production issues  

Why it’s interesting: This startup is making tech that just sounds very cool. It connects to other monitoring systems, promises to reduce alert noise (a distraction from finding the alerts that actually matter), automatically identifies the root causes of problems, and then finds ways to either fix them or suggest further actions for the engineers. While there are a growing number of AI code review startups (and that feature is also being offered by the model makers), there should be room for independent ones once the code hits production systems. This is yet another aspect of the workflow that founders are automating.  

Terranox AI 
What it does: Uses AI to find uranium deposits in North America   

Why it’s interesting: Uranium will be needed to power the next generation of nuclear energy, the founders of this company reminded us. (Nuclear poweris generally considered safe these days, though the uranium itself is, obviously, toxic — and the founder didn’t include in the pitch how it could be safely excavated.) These founders believe that nuclear will be needed to help power all of the new data centers being built. Earth is going to need a lot of energy, from many sources, to ensure its human inhabitants can keep up with the ambitions of the AI revolution.  

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In 2026, you cannot snatch AI coding tools out of developers’ vice-grip hands, researchers have discovered.  

But while AI is undoubtedly helping coders produce code faster, it may not be producing better code, other researchers warn. And that could cause problems down the road for them. 

Specifically, in February 2026, respected AI research lab METR published a surprising revelation: most developers won’t work, even on a limited number of tasks, without AI anymore. 

METR had hoped to provide an update to some groundbreaking research published a few months earlier, in 2025, on AI coding productivity. In it, researchers measured how much time open source developers took to do tasks by hand versus with AI. 

While developers in that study reported that AI was making them more productive, they were shocked to learn it actually slowed them down. Sure, it generated code faster, but then they spent extra time finding and fixing errors, steering the AI and waiting on it to complete tasks. 

When METR set out to repeat the experiment to measure advances in AI and coder proficiency, they couldn’t.

Devs weren’t willing to participate “because they do not wish to work without AI” even just for the study, the researchers confessed. 

Instead, METR published a survey in May that allowed technical employees to self-report their AI productivity gains. Not surprisingly, they perceived that AI made them twice as valuable to their organizations.  

But recent headlines about the wild expense of so-called tokenmaxxing, coupled with a smattering of recent research, make such self-perceptions dubious.  

Tokenmaxxing, or using the number of tokens a person uses as a proxy for productivity with AI, has been the trend of 2026 so far. And it may already be over. 

Amazon shut down its internal token-tracking leaderboard called Kirorank after employees were gaming it by using AI agents excessively, and running up costs, the Financial Times reported this week. The employees proved that AI use does not automatically translate to increased productivity.

Uber blew through its 2026 AI budget within the first four months of the year, The Information reported. COO Andrew Macdonald recently said on a podcast that such spending hadn’t led to a measurable increase in projects or productivity. 

AI-generated code also doesn’t necessarily reduce ongoing code maintenance needs, and may even increase it, programmer and author James Shore elegantly argued in a blog post that went viral on Hacker News. 

“You write code twice as quick now? Better hope you’ve halved your maintenance costs,” he wrote. “Otherwise, you’re screwed. You’re trading a temporary speed boost for permanent indenture.” 

There’s other evidence that AI can increases code maintenance woes. 

A viral tweet from Aiswarya Sankar, founder and CEO of reliability engineering agent startup Entelligence AI, proclaims that companies are spending 44% of their tokens on bug fixes that their AI generated. Code reviewing tool company Code Rabbit says it analyzed open source pull requests and found that AI produced 1.7x more problems than human code.

Those are, admittedly, self-serving stats from those trying to sell AI code reviewing tools. 

Yet independent researchers have also found such issues. Researchers from the respected Singapore Management University published a report in April warning that “AI-generated code can introduce long-term maintenance costs into real software projects.” 

Given that programmers love their AI assistants, what’s the solution?  

Well, those who want to sell you AI coding agents say devs can just use AI coding agents to do the bone wearing tasks of fixing code as fast as AI spits it out. That’s what Cognition founder CEO Scott Wu suggests, maker of AI coding agent Devin.  

But even he admits that, while Devin can work independently, he’d currently rate its skill between a junior and mid-level programmer, depending on the task. This is not a hand-it-off and forget it solution.

The SMU researchers suggest a more human approach. Programmers should know what tasks AI does and doesn’t do well as deeply as they know their favorite coding languages. They need strong quality assurance systems designed for AI and they are stuck with carefully reviewing the AI’s work as if it was a junior dev.

Meanwhile, the researchers say (and Wu agrees), humans should still be doing the big-picture work like software architecture and security design.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Coders #refusing #work #AIand #bite #TechCrunch">Coders are refusing to work without AI — and that could come back to bite them  | TechCrunch In 2026, you cannot snatch AI coding tools out of developers’ vice-grip hands, researchers have discovered.   But while AI is undoubtedly helping coders produce code faster, it may not be producing better code, other researchers warn. And that could cause problems down the road for them.  Specifically, in February 2026, respected AI research lab METR published a surprising revelation: most developers won’t work, even on a limited number of tasks, without AI anymore.  METR had hoped to provide an update to some groundbreaking research published a few months earlier, in 2025, on AI coding productivity. In it, researchers measured how much time open source developers took to do tasks by hand versus with AI.  While developers in that study reported that AI was making them more productive, they were shocked to learn it actually slowed them down. Sure, it generated code faster, but then they spent extra time finding and fixing errors, steering the AI and waiting on it to complete tasks.  When METR set out to repeat the experiment to measure advances in AI and coder proficiency, they couldn’t. Devs weren’t willing to participate “because they do not wish to work without AI” even just for the study, the researchers confessed.  Instead, METR published a survey in May that allowed technical employees to self-report their AI productivity gains. Not surprisingly, they perceived that AI made them twice as valuable to their organizations.   But recent headlines about the wild expense of so-called tokenmaxxing, coupled with a smattering of recent research, make such self-perceptions dubious.   Tokenmaxxing, or using the number of tokens a person uses as a proxy for productivity with AI, has been the trend of 2026 so far. And it may already be over.  Amazon shut down its internal token-tracking leaderboard called Kirorank after employees were gaming it by using AI agents excessively, and running up costs, the Financial Times reported this week. The employees proved that AI use does not automatically translate to increased productivity. Uber blew through its 2026 AI budget within the first four months of the year, The Information reported. COO Andrew Macdonald recently said on a podcast that such spending hadn’t led to a measurable increase in projects or productivity.  AI-generated code also doesn’t necessarily reduce ongoing code maintenance needs, and may even increase it, programmer and author James Shore elegantly argued in a blog post that went viral on Hacker News.  “You write code twice as quick now? Better hope you’ve halved your maintenance costs,” he wrote. “Otherwise, you’re screwed. You’re trading a temporary speed boost for permanent indenture.”  There’s other evidence that AI can increases code maintenance woes.  A viral tweet from Aiswarya Sankar, founder and CEO of reliability engineering agent startup Entelligence AI, proclaims that companies are spending 44% of their tokens on bug fixes that their AI generated. Code reviewing tool company Code Rabbit says it analyzed open source pull requests and found that AI produced 1.7x more problems than human code. Those are, admittedly, self-serving stats from those trying to sell AI code reviewing tools.  Yet independent researchers have also found such issues. Researchers from the respected Singapore Management University published a report in April warning that “AI-generated code can introduce long-term maintenance costs into real software projects.”  Given that programmers love their AI assistants, what’s the solution?   Well, those who want to sell you AI coding agents say devs can just use AI coding agents to do the bone wearing tasks of fixing code as fast as AI spits it out. That’s what Cognition founder CEO Scott Wu suggests, maker of AI coding agent Devin.   But even he admits that, while Devin can work independently, he’d currently rate its skill between a junior and mid-level programmer, depending on the task. This is not a hand-it-off and forget it solution. The SMU researchers suggest a more human approach. Programmers should know what tasks AI does and doesn’t do well as deeply as they know their favorite coding languages. They need strong quality assurance systems designed for AI and they are stuck with carefully reviewing the AI’s work as if it was a junior dev. Meanwhile, the researchers say (and Wu agrees), humans should still be doing the big-picture work like software architecture and security design. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Coders #refusing #work #AIand #bite #TechCrunch

published a surprising revelation: most developers won’t work, even on a limited number of tasks, without AI anymore. 

METR had hoped to provide an update to some groundbreaking research published a few months earlier, in 2025, on AI coding productivity. In it, researchers measured how much time open source developers took to do tasks by hand versus with AI. 

While developers in that study reported that AI was making them more productive, they were shocked to learn it actually slowed them down. Sure, it generated code faster, but then they spent extra time finding and fixing errors, steering the AI and waiting on it to complete tasks. 

When METR set out to repeat the experiment to measure advances in AI and coder proficiency, they couldn’t.

Devs weren’t willing to participate “because they do not wish to work without AI” even just for the study, the researchers confessed. 

Instead, METR published a survey in May that allowed technical employees to self-report their AI productivity gains. Not surprisingly, they perceived that AI made them twice as valuable to their organizations.  

But recent headlines about the wild expense of so-called tokenmaxxing, coupled with a smattering of recent research, make such self-perceptions dubious.  

Tokenmaxxing, or using the number of tokens a person uses as a proxy for productivity with AI, has been the trend of 2026 so far. And it may already be over. 

Amazon shut down its internal token-tracking leaderboard called Kirorank after employees were gaming it by using AI agents excessively, and running up costs, the Financial Times reported this week. The employees proved that AI use does not automatically translate to increased productivity.

Uber blew through its 2026 AI budget within the first four months of the year, The Information reported. COO Andrew Macdonald recently said on a podcast that such spending hadn’t led to a measurable increase in projects or productivity. 

AI-generated code also doesn’t necessarily reduce ongoing code maintenance needs, and may even increase it, programmer and author James Shore elegantly argued in a blog post that went viral on Hacker News. 

“You write code twice as quick now? Better hope you’ve halved your maintenance costs,” he wrote. “Otherwise, you’re screwed. You’re trading a temporary speed boost for permanent indenture.” 

There’s other evidence that AI can increases code maintenance woes. 

A viral tweet from Aiswarya Sankar, founder and CEO of reliability engineering agent startup Entelligence AI, proclaims that companies are spending 44% of their tokens on bug fixes that their AI generated. Code reviewing tool company Code Rabbit says it analyzed open source pull requests and found that AI produced 1.7x more problems than human code.

Those are, admittedly, self-serving stats from those trying to sell AI code reviewing tools. 

Yet independent researchers have also found such issues. Researchers from the respected Singapore Management University published a report in April warning that “AI-generated code can introduce long-term maintenance costs into real software projects.” 

Given that programmers love their AI assistants, what’s the solution?  

Well, those who want to sell you AI coding agents say devs can just use AI coding agents to do the bone wearing tasks of fixing code as fast as AI spits it out. That’s what Cognition founder CEO Scott Wu suggests, maker of AI coding agent Devin.  

But even he admits that, while Devin can work independently, he’d currently rate its skill between a junior and mid-level programmer, depending on the task. This is not a hand-it-off and forget it solution.

The SMU researchers suggest a more human approach. Programmers should know what tasks AI does and doesn’t do well as deeply as they know their favorite coding languages. They need strong quality assurance systems designed for AI and they are stuck with carefully reviewing the AI’s work as if it was a junior dev.

Meanwhile, the researchers say (and Wu agrees), humans should still be doing the big-picture work like software architecture and security design.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Coders #refusing #work #AIand #bite #TechCrunch">Coders are refusing to work without AI — and that could come back to bite them  | TechCrunch

In 2026, you cannot snatch AI coding tools out of developers’ vice-grip hands, researchers have discovered.  

But while AI is undoubtedly helping coders produce code faster, it may not be producing better code, other researchers warn. And that could cause problems down the road for them. 

Specifically, in February 2026, respected AI research lab METR published a surprising revelation: most developers won’t work, even on a limited number of tasks, without AI anymore. 

METR had hoped to provide an update to some groundbreaking research published a few months earlier, in 2025, on AI coding productivity. In it, researchers measured how much time open source developers took to do tasks by hand versus with AI. 

While developers in that study reported that AI was making them more productive, they were shocked to learn it actually slowed them down. Sure, it generated code faster, but then they spent extra time finding and fixing errors, steering the AI and waiting on it to complete tasks. 

When METR set out to repeat the experiment to measure advances in AI and coder proficiency, they couldn’t.

Devs weren’t willing to participate “because they do not wish to work without AI” even just for the study, the researchers confessed. 

Instead, METR published a survey in May that allowed technical employees to self-report their AI productivity gains. Not surprisingly, they perceived that AI made them twice as valuable to their organizations.  

But recent headlines about the wild expense of so-called tokenmaxxing, coupled with a smattering of recent research, make such self-perceptions dubious.  

Tokenmaxxing, or using the number of tokens a person uses as a proxy for productivity with AI, has been the trend of 2026 so far. And it may already be over. 

Amazon shut down its internal token-tracking leaderboard called Kirorank after employees were gaming it by using AI agents excessively, and running up costs, the Financial Times reported this week. The employees proved that AI use does not automatically translate to increased productivity.

Uber blew through its 2026 AI budget within the first four months of the year, The Information reported. COO Andrew Macdonald recently said on a podcast that such spending hadn’t led to a measurable increase in projects or productivity. 

AI-generated code also doesn’t necessarily reduce ongoing code maintenance needs, and may even increase it, programmer and author James Shore elegantly argued in a blog post that went viral on Hacker News. 

“You write code twice as quick now? Better hope you’ve halved your maintenance costs,” he wrote. “Otherwise, you’re screwed. You’re trading a temporary speed boost for permanent indenture.” 

There’s other evidence that AI can increases code maintenance woes. 

A viral tweet from Aiswarya Sankar, founder and CEO of reliability engineering agent startup Entelligence AI, proclaims that companies are spending 44% of their tokens on bug fixes that their AI generated. Code reviewing tool company Code Rabbit says it analyzed open source pull requests and found that AI produced 1.7x more problems than human code.

Those are, admittedly, self-serving stats from those trying to sell AI code reviewing tools. 

Yet independent researchers have also found such issues. Researchers from the respected Singapore Management University published a report in April warning that “AI-generated code can introduce long-term maintenance costs into real software projects.” 

Given that programmers love their AI assistants, what’s the solution?  

Well, those who want to sell you AI coding agents say devs can just use AI coding agents to do the bone wearing tasks of fixing code as fast as AI spits it out. That’s what Cognition founder CEO Scott Wu suggests, maker of AI coding agent Devin.  

But even he admits that, while Devin can work independently, he’d currently rate its skill between a junior and mid-level programmer, depending on the task. This is not a hand-it-off and forget it solution.

The SMU researchers suggest a more human approach. Programmers should know what tasks AI does and doesn’t do well as deeply as they know their favorite coding languages. They need strong quality assurance systems designed for AI and they are stuck with carefully reviewing the AI’s work as if it was a junior dev.

Meanwhile, the researchers say (and Wu agrees), humans should still be doing the big-picture work like software architecture and security design.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Coders #refusing #work #AIand #bite #TechCrunch
officially unveiled the Luna Band, a new voice-first wearable designed to help users improve their daily routines through real-time health tracking. Supported by the company’s LifeOS intelligence system, the wearable continuously monitors body signals and transforms them into personalized recommendations. Luna designed the device for people who want smarter support for productivity, recovery, and overall health. The invite-only Drop 1 is expected to begin shipping by the end of July 2026.

Luna Band: Key Highlights

Luna designed the Luna app to make health tracking simpler and more organized by consolidating several wellness features into a single platform. This app integrates features that involve stress management, nutrition, exercise, supplements, and recovery into a single application. Another customization option available to users is creating personal health modules in the app.

The application brings together aspects of stress, diet, fitness, nutritional supplements, and productivity within the app’s micro-apps. Users can also sync third-party devices and other relevant health-related data sources for a more personalized experience.

Luna Introduces Luna Band With Real-Time Health Tracking Features Luna has officially unveiled the Luna Band, a new voice-first wearable designed to help users improve their daily routines through real-time health tracking. Supported by the company’s LifeOS intelligence system, the wearable continuously monitors body signals and transforms them into personalized recommendations. Luna designed the device for people who want smarter support for productivity, recovery, and overall health. The invite-only Drop 1 is expected to begin shipping by the end of July 2026. Luna Band: Key Highlights Luna designed the Luna app to make health tracking simpler and more organized by consolidating several wellness features into a single platform. This app integrates features that involve stress management, nutrition, exercise, supplements, and recovery into a single application. Another customization option available to users is creating personal health modules in the app. The application brings together aspects of stress, diet, fitness, nutritional supplements, and productivity within the app’s micro-apps. Users can also sync third-party devices and other relevant health-related data sources for a more personalized experience. The company also allows users to create their own health modules in the app rather than relying solely on prebuilt features. Alongside this, Luna highlights its voice-logging feature, which eliminates the need for manual data entry. Users can quickly record meals, workouts, and daily habits through simple voice commands, making health tracking faster. Luna designed LifeOS as one of its main AI-powered features to simplify health tracking through personalized insights and recommendations. The system continuously studies body signals, lifestyle habits, biomarkers, and health trends to deliver a better understanding of overall wellness. Luna says LifeOS is included with the Luna Band platform. Price and Availability Luna has confirmed that the first release of the Luna Band, called Drop 1, will be available through an invite-only system. Users interested in the wearable can sign up through the company’s official waitlist before shipping starts later in July 2026. #Luna #Introduces #Luna #Band #RealTime #Health #Tracking #FeaturesLuna

The company also allows users to create their own health modules in the app rather than relying solely on prebuilt features. Alongside this, Luna highlights its voice-logging feature, which eliminates the need for manual data entry. Users can quickly record meals, workouts, and daily habits through simple voice commands, making health tracking faster.

Luna designed LifeOS as one of its main AI-powered features to simplify health tracking through personalized insights and recommendations. The system continuously studies body signals, lifestyle habits, biomarkers, and health trends to deliver a better understanding of overall wellness. Luna says LifeOS is included with the Luna Band platform.

Price and Availability

Luna has confirmed that the first release of the Luna Band, called Drop 1, will be available through an invite-only system. Users interested in the wearable can sign up through the company’s official waitlist before shipping starts later in July 2026.

#Luna #Introduces #Luna #Band #RealTime #Health #Tracking #FeaturesLuna">Luna Introduces Luna Band With Real-Time Health Tracking Features Luna has officially unveiled the Luna Band, a new voice-first wearable designed to help users improve their daily routines through real-time health tracking. Supported by the company’s LifeOS intelligence system, the wearable continuously monitors body signals and transforms them into personalized recommendations. Luna designed the device for people who want smarter support for productivity, recovery, and overall health. The invite-only Drop 1 is expected to begin shipping by the end of July 2026. Luna Band: Key Highlights Luna designed the Luna app to make health tracking simpler and more organized by consolidating several wellness features into a single platform. This app integrates features that involve stress management, nutrition, exercise, supplements, and recovery into a single application. Another customization option available to users is creating personal health modules in the app. The application brings together aspects of stress, diet, fitness, nutritional supplements, and productivity within the app’s micro-apps. Users can also sync third-party devices and other relevant health-related data sources for a more personalized experience. The company also allows users to create their own health modules in the app rather than relying solely on prebuilt features. Alongside this, Luna highlights its voice-logging feature, which eliminates the need for manual data entry. Users can quickly record meals, workouts, and daily habits through simple voice commands, making health tracking faster. Luna designed LifeOS as one of its main AI-powered features to simplify health tracking through personalized insights and recommendations. The system continuously studies body signals, lifestyle habits, biomarkers, and health trends to deliver a better understanding of overall wellness. Luna says LifeOS is included with the Luna Band platform. Price and Availability Luna has confirmed that the first release of the Luna Band, called Drop 1, will be available through an invite-only system. Users interested in the wearable can sign up through the company’s official waitlist before shipping starts later in July 2026. #Luna #Introduces #Luna #Band #RealTime #Health #Tracking #FeaturesLuna

the Luna Band, a new voice-first wearable designed to help users improve their daily routines through real-time health tracking. Supported by the company’s LifeOS intelligence system, the wearable continuously monitors body signals and transforms them into personalized recommendations. Luna designed the device for people who want smarter support for productivity, recovery, and overall health. The invite-only Drop 1 is expected to begin shipping by the end of July 2026.

Luna Band: Key Highlights

Luna designed the Luna app to make health tracking simpler and more organized by consolidating several wellness features into a single platform. This app integrates features that involve stress management, nutrition, exercise, supplements, and recovery into a single application. Another customization option available to users is creating personal health modules in the app.

The application brings together aspects of stress, diet, fitness, nutritional supplements, and productivity within the app’s micro-apps. Users can also sync third-party devices and other relevant health-related data sources for a more personalized experience.

Luna Introduces Luna Band With Real-Time Health Tracking Features Luna has officially unveiled the Luna Band, a new voice-first wearable designed to help users improve their daily routines through real-time health tracking. Supported by the company’s LifeOS intelligence system, the wearable continuously monitors body signals and transforms them into personalized recommendations. Luna designed the device for people who want smarter support for productivity, recovery, and overall health. The invite-only Drop 1 is expected to begin shipping by the end of July 2026. Luna Band: Key Highlights Luna designed the Luna app to make health tracking simpler and more organized by consolidating several wellness features into a single platform. This app integrates features that involve stress management, nutrition, exercise, supplements, and recovery into a single application. Another customization option available to users is creating personal health modules in the app. The application brings together aspects of stress, diet, fitness, nutritional supplements, and productivity within the app’s micro-apps. Users can also sync third-party devices and other relevant health-related data sources for a more personalized experience. The company also allows users to create their own health modules in the app rather than relying solely on prebuilt features. Alongside this, Luna highlights its voice-logging feature, which eliminates the need for manual data entry. Users can quickly record meals, workouts, and daily habits through simple voice commands, making health tracking faster. Luna designed LifeOS as one of its main AI-powered features to simplify health tracking through personalized insights and recommendations. The system continuously studies body signals, lifestyle habits, biomarkers, and health trends to deliver a better understanding of overall wellness. Luna says LifeOS is included with the Luna Band platform. Price and Availability Luna has confirmed that the first release of the Luna Band, called Drop 1, will be available through an invite-only system. Users interested in the wearable can sign up through the company’s official waitlist before shipping starts later in July 2026. #Luna #Introduces #Luna #Band #RealTime #Health #Tracking #FeaturesLuna

The company also allows users to create their own health modules in the app rather than relying solely on prebuilt features. Alongside this, Luna highlights its voice-logging feature, which eliminates the need for manual data entry. Users can quickly record meals, workouts, and daily habits through simple voice commands, making health tracking faster.

Luna designed LifeOS as one of its main AI-powered features to simplify health tracking through personalized insights and recommendations. The system continuously studies body signals, lifestyle habits, biomarkers, and health trends to deliver a better understanding of overall wellness. Luna says LifeOS is included with the Luna Band platform.

Price and Availability

Luna has confirmed that the first release of the Luna Band, called Drop 1, will be available through an invite-only system. Users interested in the wearable can sign up through the company’s official waitlist before shipping starts later in July 2026.

#Luna #Introduces #Luna #Band #RealTime #Health #Tracking #FeaturesLuna">Luna Introduces Luna Band With Real-Time Health Tracking Features

Luna has officially unveiled the Luna Band, a new voice-first wearable designed to help users improve their daily routines through real-time health tracking. Supported by the company’s LifeOS intelligence system, the wearable continuously monitors body signals and transforms them into personalized recommendations. Luna designed the device for people who want smarter support for productivity, recovery, and overall health. The invite-only Drop 1 is expected to begin shipping by the end of July 2026.

Luna Band: Key Highlights

Luna designed the Luna app to make health tracking simpler and more organized by consolidating several wellness features into a single platform. This app integrates features that involve stress management, nutrition, exercise, supplements, and recovery into a single application. Another customization option available to users is creating personal health modules in the app.

The application brings together aspects of stress, diet, fitness, nutritional supplements, and productivity within the app’s micro-apps. Users can also sync third-party devices and other relevant health-related data sources for a more personalized experience.

Luna Introduces Luna Band With Real-Time Health Tracking Features Luna has officially unveiled the Luna Band, a new voice-first wearable designed to help users improve their daily routines through real-time health tracking. Supported by the company’s LifeOS intelligence system, the wearable continuously monitors body signals and transforms them into personalized recommendations. Luna designed the device for people who want smarter support for productivity, recovery, and overall health. The invite-only Drop 1 is expected to begin shipping by the end of July 2026. Luna Band: Key Highlights Luna designed the Luna app to make health tracking simpler and more organized by consolidating several wellness features into a single platform. This app integrates features that involve stress management, nutrition, exercise, supplements, and recovery into a single application. Another customization option available to users is creating personal health modules in the app. The application brings together aspects of stress, diet, fitness, nutritional supplements, and productivity within the app’s micro-apps. Users can also sync third-party devices and other relevant health-related data sources for a more personalized experience. The company also allows users to create their own health modules in the app rather than relying solely on prebuilt features. Alongside this, Luna highlights its voice-logging feature, which eliminates the need for manual data entry. Users can quickly record meals, workouts, and daily habits through simple voice commands, making health tracking faster. Luna designed LifeOS as one of its main AI-powered features to simplify health tracking through personalized insights and recommendations. The system continuously studies body signals, lifestyle habits, biomarkers, and health trends to deliver a better understanding of overall wellness. Luna says LifeOS is included with the Luna Band platform. Price and Availability Luna has confirmed that the first release of the Luna Band, called Drop 1, will be available through an invite-only system. Users interested in the wearable can sign up through the company’s official waitlist before shipping starts later in July 2026. #Luna #Introduces #Luna #Band #RealTime #Health #Tracking #FeaturesLuna

The company also allows users to create their own health modules in the app rather than relying solely on prebuilt features. Alongside this, Luna highlights its voice-logging feature, which eliminates the need for manual data entry. Users can quickly record meals, workouts, and daily habits through simple voice commands, making health tracking faster.

Luna designed LifeOS as one of its main AI-powered features to simplify health tracking through personalized insights and recommendations. The system continuously studies body signals, lifestyle habits, biomarkers, and health trends to deliver a better understanding of overall wellness. Luna says LifeOS is included with the Luna Band platform.

Price and Availability

Luna has confirmed that the first release of the Luna Band, called Drop 1, will be available through an invite-only system. Users interested in the wearable can sign up through the company’s official waitlist before shipping starts later in July 2026.

#Luna #Introduces #Luna #Band #RealTime #Health #Tracking #FeaturesLuna
suggested that GLP-1s can tamp down people’s unhealthy urges for alcohol, cocaine, and even vices like gambling. And earlier this month, researchers in Denmark published data from the first double-blinded, randomized, and placebo-controlled trial of semaglutide for alcohol use disorder in The Lancet. Over a 26-week period, the study found that people on semaglutide consumed less alcohol than those given a placebo and experienced noticeably fewer heavy drinking days when they did drink.

Can Ozempic Treat Alcoholism? Here’s What You Should Know Semaglutide (the active ingredient in Ozempic and Wegovy) and other GLP-1 medications have rapidly become some of the most popular drugs in the world. Originally developed for type 2 diabetes, GLP-1s are now better known for treating obesity. In the near future, though, these drugs could have yet another vital use as treatments for alcohol addiction and other substance use disorders. Over the past few years, a growing base of evidence has suggested that GLP-1s can tamp down people’s unhealthy urges for alcohol, cocaine, and even vices like gambling. And earlier this month, researchers in Denmark published data from the first double-blinded, randomized, and placebo-controlled trial of semaglutide for alcohol use disorder in The Lancet. Over a 26-week period, the study found that people on semaglutide consumed less alcohol than those given a placebo and experienced noticeably fewer heavy drinking days when they did drink. © siamionau pavel via Shutterstock There are other similar studies underway, including in the United States. Some are testing semaglutide for other kinds of substance use disorder, like opioids. Others are testing newer drugs like tirzepatide (a dual agonist that pairs GLP-1 with the hunger-related hormone GIP). I reached out to an outside expert, Asim Shah, a professor and executive vice chair of psychiatry and behavioral sciences at Baylor College of Medicine, to talk about the emerging science surrounding GLP-1s and addiction treatment. We discussed the leading theory behind why GLP-1s can reduce addiction, his opinion of the recent Lancet trial, and what it will take for these drugs to be widely adopted as treatments for substance use disorders. The following has been lightly edited for clarity and grammar. Ed Cara, Gizmodo: Do we have any sort of sense yet as to how or why GLP-1s seem to be working well against substance use disorders? Asim Shah: So the craving, or pleasure, center of the brain is related to dopamine, which is a brain neurotransmitter. Whenever you crave something and you eat it or you take it, that gives you pleasure. That is the dopamine functioning in the brain. And all of this is related to the same thing, whether it’s a craving for food, craving for smoking, craving for alcohol, any drug. That’s the neurobiological mechanism of craving and pleasure, and it’s all the same mechanism. © Mohammed_Al_Ali via Shutterstock And incidentally, we found out that the people who were losing weight on these GLP-1s, they often also stopped smoking cigarettes and their addiction got better with alcohol. It was an incidental finding, but it’s something people are now trying to study more closely. Gizmodo: Speaking of studies, what do you make of the newest trial published in The Lancet this month? Shah: So this was a 26 week study, which had about 100 patients, half and half men and women both. In our world, 100 patients is a medium sized study; a larger one might usually have 300, 400, 600 patients. So this is a medium sized study, which is decent. It’s not bad. And in my opinion, it was done pretty well, not a lot of bias in the study that I saw. Now, of course, this is not a definitive study. And you need to follow up with these patients after the weeks of study. We call these start-up studies, and they are what we base future, longer and bigger studies on. So it’s a good base, and there are other studies on the way. Gizmodo: Broadly speaking, what are the questions that these longer and larger studies need to try answering? Shah: So there are a couple of things. These are different substances that people are looking at; one is alcohol, one smoking, the other is opiates. So the next studies we should be doing is to see whether GLP-1s like semaglutide can limit more than one of these addictions. Because the mechanism is the same mechanism for all the cravings and the addictions. So can it reduce all of these or just one if somebody is taking it? © Sebastien Bozon/AFP via Getty If we do keep seeing an effect here, it’s also important to know how quickly this happens and whether it can be sustained after you stop using a GLP-1. That’s why we have to follow people after these sorts of trials, to see if the effect can last after they stop taking the medication or if it requires people needing to stay on the drug for the effect. Gizmodo: These sort of studies are happening. But what should be the current takeaway for people with these addictions and their doctor? Is this something that could be used in the real world right now? Shah: Because they’re not approved right now, the takeaway should be that if you already have a current indication to take a GLP-1 which is for diabetes or obesity, certainly take it. If you also get an added advantage of stopping your smoking or alcohol use disorder, that is well and good because we don’t have approval for these disorders currently. So in other words, if somebody comes to us and says, “Hey, I want to start these medicines for smoking cessation or alcohol use disorder,” we may not be able to prescribe it because there’s no approval. But they can be part of a study which is going on in some centers for those disorders. And if somebody already is using them for diabetes or so, and in addition, they get a benefit for alcoholism, that’s great, too. #Ozempic #Treat #Alcoholism #Heresaddiction,Alcoholism,GLP-1s,Ozempic,Q&As
© siamionau pavel via Shutterstock

There are other similar studies underway, including in the United States. Some are testing semaglutide for other kinds of substance use disorder, like opioids. Others are testing newer drugs like tirzepatide (a dual agonist that pairs GLP-1 with the hunger-related hormone GIP).

I reached out to an outside expert, Asim Shah, a professor and executive vice chair of psychiatry and behavioral sciences at Baylor College of Medicine, to talk about the emerging science surrounding GLP-1s and addiction treatment. We discussed the leading theory behind why GLP-1s can reduce addiction, his opinion of the recent Lancet trial, and what it will take for these drugs to be widely adopted as treatments for substance use disorders. The following has been lightly edited for clarity and grammar.

Ed Cara, Gizmodo: Do we have any sort of sense yet as to how or why GLP-1s seem to be working well against substance use disorders?

Asim Shah: So the craving, or pleasure, center of the brain is related to dopamine, which is a brain neurotransmitter. Whenever you crave something and you eat it or you take it, that gives you pleasure. That is the dopamine functioning in the brain. And all of this is related to the same thing, whether it’s a craving for food, craving for smoking, craving for alcohol, any drug. That’s the neurobiological mechanism of craving and pleasure, and it’s all the same mechanism.

The obesity medication Saxenda, made with liraglutide
© Mohammed_Al_Ali via Shutterstock

And incidentally, we found out that the people who were losing weight on these GLP-1s, they often also stopped smoking cigarettes and their addiction got better with alcohol. It was an incidental finding, but it’s something people are now trying to study more closely.

Gizmodo: Speaking of studies, what do you make of the newest trial published in The Lancet this month?

Shah: So this was a 26 week study, which had about 100 patients, half and half men and women both. In our world, 100 patients is a medium sized study; a larger one might usually have 300, 400, 600 patients. So this is a medium sized study, which is decent. It’s not bad. And in my opinion, it was done pretty well, not a lot of bias in the study that I saw.

Now, of course, this is not a definitive study. And you need to follow up with these patients after the weeks of study. We call these start-up studies, and they are what we base future, longer and bigger studies on. So it’s a good base, and there are other studies on the way.

Gizmodo: Broadly speaking, what are the questions that these longer and larger studies need to try answering?

Shah: So there are a couple of things.

These are different substances that people are looking at; one is alcohol, one smoking, the other is opiates. So the next studies we should be doing is to see whether GLP-1s like semaglutide can limit more than one of these addictions. Because the mechanism is the same mechanism for all the cravings and the addictions. So can it reduce all of these or just one if somebody is taking it?

Boxes of the GLP-1 medication Ozempic
© Sebastien Bozon/AFP via Getty

If we do keep seeing an effect here, it’s also important to know how quickly this happens and whether it can be sustained after you stop using a GLP-1. That’s why we have to follow people after these sorts of trials, to see if the effect can last after they stop taking the medication or if it requires people needing to stay on the drug for the effect.

Gizmodo: These sort of studies are happening. But what should be the current takeaway for people with these addictions and their doctor? Is this something that could be used in the real world right now?

Shah: Because they’re not approved right now, the takeaway should be that if you already have a current indication to take a GLP-1 which is for diabetes or obesity, certainly take it. If you also get an added advantage of stopping your smoking or alcohol use disorder, that is well and good because we don’t have approval for these disorders currently.

So in other words, if somebody comes to us and says, “Hey, I want to start these medicines for smoking cessation or alcohol use disorder,” we may not be able to prescribe it because there’s no approval. But they can be part of a study which is going on in some centers for those disorders. And if somebody already is using them for diabetes or so, and in addition, they get a benefit for alcoholism, that’s great, too.

#Ozempic #Treat #Alcoholism #Heresaddiction,Alcoholism,GLP-1s,Ozempic,Q&As">Can Ozempic Treat Alcoholism? Here’s What You Should Know Semaglutide (the active ingredient in Ozempic and Wegovy) and other GLP-1 medications have rapidly become some of the most popular drugs in the world. Originally developed for type 2 diabetes, GLP-1s are now better known for treating obesity. In the near future, though, these drugs could have yet another vital use as treatments for alcohol addiction and other substance use disorders. Over the past few years, a growing base of evidence has suggested that GLP-1s can tamp down people’s unhealthy urges for alcohol, cocaine, and even vices like gambling. And earlier this month, researchers in Denmark published data from the first double-blinded, randomized, and placebo-controlled trial of semaglutide for alcohol use disorder in The Lancet. Over a 26-week period, the study found that people on semaglutide consumed less alcohol than those given a placebo and experienced noticeably fewer heavy drinking days when they did drink. © siamionau pavel via Shutterstock There are other similar studies underway, including in the United States. Some are testing semaglutide for other kinds of substance use disorder, like opioids. Others are testing newer drugs like tirzepatide (a dual agonist that pairs GLP-1 with the hunger-related hormone GIP). I reached out to an outside expert, Asim Shah, a professor and executive vice chair of psychiatry and behavioral sciences at Baylor College of Medicine, to talk about the emerging science surrounding GLP-1s and addiction treatment. We discussed the leading theory behind why GLP-1s can reduce addiction, his opinion of the recent Lancet trial, and what it will take for these drugs to be widely adopted as treatments for substance use disorders. The following has been lightly edited for clarity and grammar. Ed Cara, Gizmodo: Do we have any sort of sense yet as to how or why GLP-1s seem to be working well against substance use disorders? Asim Shah: So the craving, or pleasure, center of the brain is related to dopamine, which is a brain neurotransmitter. Whenever you crave something and you eat it or you take it, that gives you pleasure. That is the dopamine functioning in the brain. And all of this is related to the same thing, whether it’s a craving for food, craving for smoking, craving for alcohol, any drug. That’s the neurobiological mechanism of craving and pleasure, and it’s all the same mechanism. © Mohammed_Al_Ali via Shutterstock And incidentally, we found out that the people who were losing weight on these GLP-1s, they often also stopped smoking cigarettes and their addiction got better with alcohol. It was an incidental finding, but it’s something people are now trying to study more closely. Gizmodo: Speaking of studies, what do you make of the newest trial published in The Lancet this month? Shah: So this was a 26 week study, which had about 100 patients, half and half men and women both. In our world, 100 patients is a medium sized study; a larger one might usually have 300, 400, 600 patients. So this is a medium sized study, which is decent. It’s not bad. And in my opinion, it was done pretty well, not a lot of bias in the study that I saw. Now, of course, this is not a definitive study. And you need to follow up with these patients after the weeks of study. We call these start-up studies, and they are what we base future, longer and bigger studies on. So it’s a good base, and there are other studies on the way. Gizmodo: Broadly speaking, what are the questions that these longer and larger studies need to try answering? Shah: So there are a couple of things. These are different substances that people are looking at; one is alcohol, one smoking, the other is opiates. So the next studies we should be doing is to see whether GLP-1s like semaglutide can limit more than one of these addictions. Because the mechanism is the same mechanism for all the cravings and the addictions. So can it reduce all of these or just one if somebody is taking it? © Sebastien Bozon/AFP via Getty If we do keep seeing an effect here, it’s also important to know how quickly this happens and whether it can be sustained after you stop using a GLP-1. That’s why we have to follow people after these sorts of trials, to see if the effect can last after they stop taking the medication or if it requires people needing to stay on the drug for the effect. Gizmodo: These sort of studies are happening. But what should be the current takeaway for people with these addictions and their doctor? Is this something that could be used in the real world right now? Shah: Because they’re not approved right now, the takeaway should be that if you already have a current indication to take a GLP-1 which is for diabetes or obesity, certainly take it. If you also get an added advantage of stopping your smoking or alcohol use disorder, that is well and good because we don’t have approval for these disorders currently. So in other words, if somebody comes to us and says, “Hey, I want to start these medicines for smoking cessation or alcohol use disorder,” we may not be able to prescribe it because there’s no approval. But they can be part of a study which is going on in some centers for those disorders. And if somebody already is using them for diabetes or so, and in addition, they get a benefit for alcoholism, that’s great, too. #Ozempic #Treat #Alcoholism #Heresaddiction,Alcoholism,GLP-1s,Ozempic,Q&As

that GLP-1s can tamp down people’s unhealthy urges for alcohol, cocaine, and even vices like gambling. And earlier this month, researchers in Denmark published data from the first double-blinded, randomized, and placebo-controlled trial of semaglutide for alcohol use disorder in The Lancet. Over a 26-week period, the study found that people on semaglutide consumed less alcohol than those given a placebo and experienced noticeably fewer heavy drinking days when they did drink.

Can Ozempic Treat Alcoholism? Here’s What You Should Know Semaglutide (the active ingredient in Ozempic and Wegovy) and other GLP-1 medications have rapidly become some of the most popular drugs in the world. Originally developed for type 2 diabetes, GLP-1s are now better known for treating obesity. In the near future, though, these drugs could have yet another vital use as treatments for alcohol addiction and other substance use disorders. Over the past few years, a growing base of evidence has suggested that GLP-1s can tamp down people’s unhealthy urges for alcohol, cocaine, and even vices like gambling. And earlier this month, researchers in Denmark published data from the first double-blinded, randomized, and placebo-controlled trial of semaglutide for alcohol use disorder in The Lancet. Over a 26-week period, the study found that people on semaglutide consumed less alcohol than those given a placebo and experienced noticeably fewer heavy drinking days when they did drink. © siamionau pavel via Shutterstock There are other similar studies underway, including in the United States. Some are testing semaglutide for other kinds of substance use disorder, like opioids. Others are testing newer drugs like tirzepatide (a dual agonist that pairs GLP-1 with the hunger-related hormone GIP). I reached out to an outside expert, Asim Shah, a professor and executive vice chair of psychiatry and behavioral sciences at Baylor College of Medicine, to talk about the emerging science surrounding GLP-1s and addiction treatment. We discussed the leading theory behind why GLP-1s can reduce addiction, his opinion of the recent Lancet trial, and what it will take for these drugs to be widely adopted as treatments for substance use disorders. The following has been lightly edited for clarity and grammar. Ed Cara, Gizmodo: Do we have any sort of sense yet as to how or why GLP-1s seem to be working well against substance use disorders? Asim Shah: So the craving, or pleasure, center of the brain is related to dopamine, which is a brain neurotransmitter. Whenever you crave something and you eat it or you take it, that gives you pleasure. That is the dopamine functioning in the brain. And all of this is related to the same thing, whether it’s a craving for food, craving for smoking, craving for alcohol, any drug. That’s the neurobiological mechanism of craving and pleasure, and it’s all the same mechanism. © Mohammed_Al_Ali via Shutterstock And incidentally, we found out that the people who were losing weight on these GLP-1s, they often also stopped smoking cigarettes and their addiction got better with alcohol. It was an incidental finding, but it’s something people are now trying to study more closely. Gizmodo: Speaking of studies, what do you make of the newest trial published in The Lancet this month? Shah: So this was a 26 week study, which had about 100 patients, half and half men and women both. In our world, 100 patients is a medium sized study; a larger one might usually have 300, 400, 600 patients. So this is a medium sized study, which is decent. It’s not bad. And in my opinion, it was done pretty well, not a lot of bias in the study that I saw. Now, of course, this is not a definitive study. And you need to follow up with these patients after the weeks of study. We call these start-up studies, and they are what we base future, longer and bigger studies on. So it’s a good base, and there are other studies on the way. Gizmodo: Broadly speaking, what are the questions that these longer and larger studies need to try answering? Shah: So there are a couple of things. These are different substances that people are looking at; one is alcohol, one smoking, the other is opiates. So the next studies we should be doing is to see whether GLP-1s like semaglutide can limit more than one of these addictions. Because the mechanism is the same mechanism for all the cravings and the addictions. So can it reduce all of these or just one if somebody is taking it? © Sebastien Bozon/AFP via Getty If we do keep seeing an effect here, it’s also important to know how quickly this happens and whether it can be sustained after you stop using a GLP-1. That’s why we have to follow people after these sorts of trials, to see if the effect can last after they stop taking the medication or if it requires people needing to stay on the drug for the effect. Gizmodo: These sort of studies are happening. But what should be the current takeaway for people with these addictions and their doctor? Is this something that could be used in the real world right now? Shah: Because they’re not approved right now, the takeaway should be that if you already have a current indication to take a GLP-1 which is for diabetes or obesity, certainly take it. If you also get an added advantage of stopping your smoking or alcohol use disorder, that is well and good because we don’t have approval for these disorders currently. So in other words, if somebody comes to us and says, “Hey, I want to start these medicines for smoking cessation or alcohol use disorder,” we may not be able to prescribe it because there’s no approval. But they can be part of a study which is going on in some centers for those disorders. And if somebody already is using them for diabetes or so, and in addition, they get a benefit for alcoholism, that’s great, too. #Ozempic #Treat #Alcoholism #Heresaddiction,Alcoholism,GLP-1s,Ozempic,Q&As
© siamionau pavel via Shutterstock

There are other similar studies underway, including in the United States. Some are testing semaglutide for other kinds of substance use disorder, like opioids. Others are testing newer drugs like tirzepatide (a dual agonist that pairs GLP-1 with the hunger-related hormone GIP).

I reached out to an outside expert, Asim Shah, a professor and executive vice chair of psychiatry and behavioral sciences at Baylor College of Medicine, to talk about the emerging science surrounding GLP-1s and addiction treatment. We discussed the leading theory behind why GLP-1s can reduce addiction, his opinion of the recent Lancet trial, and what it will take for these drugs to be widely adopted as treatments for substance use disorders. The following has been lightly edited for clarity and grammar.

Ed Cara, Gizmodo: Do we have any sort of sense yet as to how or why GLP-1s seem to be working well against substance use disorders?

Asim Shah: So the craving, or pleasure, center of the brain is related to dopamine, which is a brain neurotransmitter. Whenever you crave something and you eat it or you take it, that gives you pleasure. That is the dopamine functioning in the brain. And all of this is related to the same thing, whether it’s a craving for food, craving for smoking, craving for alcohol, any drug. That’s the neurobiological mechanism of craving and pleasure, and it’s all the same mechanism.

The obesity medication Saxenda, made with liraglutide
© Mohammed_Al_Ali via Shutterstock

And incidentally, we found out that the people who were losing weight on these GLP-1s, they often also stopped smoking cigarettes and their addiction got better with alcohol. It was an incidental finding, but it’s something people are now trying to study more closely.

Gizmodo: Speaking of studies, what do you make of the newest trial published in The Lancet this month?

Shah: So this was a 26 week study, which had about 100 patients, half and half men and women both. In our world, 100 patients is a medium sized study; a larger one might usually have 300, 400, 600 patients. So this is a medium sized study, which is decent. It’s not bad. And in my opinion, it was done pretty well, not a lot of bias in the study that I saw.

Now, of course, this is not a definitive study. And you need to follow up with these patients after the weeks of study. We call these start-up studies, and they are what we base future, longer and bigger studies on. So it’s a good base, and there are other studies on the way.

Gizmodo: Broadly speaking, what are the questions that these longer and larger studies need to try answering?

Shah: So there are a couple of things.

These are different substances that people are looking at; one is alcohol, one smoking, the other is opiates. So the next studies we should be doing is to see whether GLP-1s like semaglutide can limit more than one of these addictions. Because the mechanism is the same mechanism for all the cravings and the addictions. So can it reduce all of these or just one if somebody is taking it?

Boxes of the GLP-1 medication Ozempic
© Sebastien Bozon/AFP via Getty

If we do keep seeing an effect here, it’s also important to know how quickly this happens and whether it can be sustained after you stop using a GLP-1. That’s why we have to follow people after these sorts of trials, to see if the effect can last after they stop taking the medication or if it requires people needing to stay on the drug for the effect.

Gizmodo: These sort of studies are happening. But what should be the current takeaway for people with these addictions and their doctor? Is this something that could be used in the real world right now?

Shah: Because they’re not approved right now, the takeaway should be that if you already have a current indication to take a GLP-1 which is for diabetes or obesity, certainly take it. If you also get an added advantage of stopping your smoking or alcohol use disorder, that is well and good because we don’t have approval for these disorders currently.

So in other words, if somebody comes to us and says, “Hey, I want to start these medicines for smoking cessation or alcohol use disorder,” we may not be able to prescribe it because there’s no approval. But they can be part of a study which is going on in some centers for those disorders. And if somebody already is using them for diabetes or so, and in addition, they get a benefit for alcoholism, that’s great, too.

#Ozempic #Treat #Alcoholism #Heresaddiction,Alcoholism,GLP-1s,Ozempic,Q&As">Can Ozempic Treat Alcoholism? Here’s What You Should Know

Semaglutide (the active ingredient in Ozempic and Wegovy) and other GLP-1 medications have rapidly become some of the most popular drugs in the world. Originally developed for type 2 diabetes, GLP-1s are now better known for treating obesity. In the near future, though, these drugs could have yet another vital use as treatments for alcohol addiction and other substance use disorders.

Over the past few years, a growing base of evidence has suggested that GLP-1s can tamp down people’s unhealthy urges for alcohol, cocaine, and even vices like gambling. And earlier this month, researchers in Denmark published data from the first double-blinded, randomized, and placebo-controlled trial of semaglutide for alcohol use disorder in The Lancet. Over a 26-week period, the study found that people on semaglutide consumed less alcohol than those given a placebo and experienced noticeably fewer heavy drinking days when they did drink.

Can Ozempic Treat Alcoholism? Here’s What You Should Know Semaglutide (the active ingredient in Ozempic and Wegovy) and other GLP-1 medications have rapidly become some of the most popular drugs in the world. Originally developed for type 2 diabetes, GLP-1s are now better known for treating obesity. In the near future, though, these drugs could have yet another vital use as treatments for alcohol addiction and other substance use disorders. Over the past few years, a growing base of evidence has suggested that GLP-1s can tamp down people’s unhealthy urges for alcohol, cocaine, and even vices like gambling. And earlier this month, researchers in Denmark published data from the first double-blinded, randomized, and placebo-controlled trial of semaglutide for alcohol use disorder in The Lancet. Over a 26-week period, the study found that people on semaglutide consumed less alcohol than those given a placebo and experienced noticeably fewer heavy drinking days when they did drink. © siamionau pavel via Shutterstock There are other similar studies underway, including in the United States. Some are testing semaglutide for other kinds of substance use disorder, like opioids. Others are testing newer drugs like tirzepatide (a dual agonist that pairs GLP-1 with the hunger-related hormone GIP). I reached out to an outside expert, Asim Shah, a professor and executive vice chair of psychiatry and behavioral sciences at Baylor College of Medicine, to talk about the emerging science surrounding GLP-1s and addiction treatment. We discussed the leading theory behind why GLP-1s can reduce addiction, his opinion of the recent Lancet trial, and what it will take for these drugs to be widely adopted as treatments for substance use disorders. The following has been lightly edited for clarity and grammar. Ed Cara, Gizmodo: Do we have any sort of sense yet as to how or why GLP-1s seem to be working well against substance use disorders? Asim Shah: So the craving, or pleasure, center of the brain is related to dopamine, which is a brain neurotransmitter. Whenever you crave something and you eat it or you take it, that gives you pleasure. That is the dopamine functioning in the brain. And all of this is related to the same thing, whether it’s a craving for food, craving for smoking, craving for alcohol, any drug. That’s the neurobiological mechanism of craving and pleasure, and it’s all the same mechanism. © Mohammed_Al_Ali via Shutterstock And incidentally, we found out that the people who were losing weight on these GLP-1s, they often also stopped smoking cigarettes and their addiction got better with alcohol. It was an incidental finding, but it’s something people are now trying to study more closely. Gizmodo: Speaking of studies, what do you make of the newest trial published in The Lancet this month? Shah: So this was a 26 week study, which had about 100 patients, half and half men and women both. In our world, 100 patients is a medium sized study; a larger one might usually have 300, 400, 600 patients. So this is a medium sized study, which is decent. It’s not bad. And in my opinion, it was done pretty well, not a lot of bias in the study that I saw. Now, of course, this is not a definitive study. And you need to follow up with these patients after the weeks of study. We call these start-up studies, and they are what we base future, longer and bigger studies on. So it’s a good base, and there are other studies on the way. Gizmodo: Broadly speaking, what are the questions that these longer and larger studies need to try answering? Shah: So there are a couple of things. These are different substances that people are looking at; one is alcohol, one smoking, the other is opiates. So the next studies we should be doing is to see whether GLP-1s like semaglutide can limit more than one of these addictions. Because the mechanism is the same mechanism for all the cravings and the addictions. So can it reduce all of these or just one if somebody is taking it? © Sebastien Bozon/AFP via Getty If we do keep seeing an effect here, it’s also important to know how quickly this happens and whether it can be sustained after you stop using a GLP-1. That’s why we have to follow people after these sorts of trials, to see if the effect can last after they stop taking the medication or if it requires people needing to stay on the drug for the effect. Gizmodo: These sort of studies are happening. But what should be the current takeaway for people with these addictions and their doctor? Is this something that could be used in the real world right now? Shah: Because they’re not approved right now, the takeaway should be that if you already have a current indication to take a GLP-1 which is for diabetes or obesity, certainly take it. If you also get an added advantage of stopping your smoking or alcohol use disorder, that is well and good because we don’t have approval for these disorders currently. So in other words, if somebody comes to us and says, “Hey, I want to start these medicines for smoking cessation or alcohol use disorder,” we may not be able to prescribe it because there’s no approval. But they can be part of a study which is going on in some centers for those disorders. And if somebody already is using them for diabetes or so, and in addition, they get a benefit for alcoholism, that’s great, too. #Ozempic #Treat #Alcoholism #Heresaddiction,Alcoholism,GLP-1s,Ozempic,Q&As
© siamionau pavel via Shutterstock

There are other similar studies underway, including in the United States. Some are testing semaglutide for other kinds of substance use disorder, like opioids. Others are testing newer drugs like tirzepatide (a dual agonist that pairs GLP-1 with the hunger-related hormone GIP).

I reached out to an outside expert, Asim Shah, a professor and executive vice chair of psychiatry and behavioral sciences at Baylor College of Medicine, to talk about the emerging science surrounding GLP-1s and addiction treatment. We discussed the leading theory behind why GLP-1s can reduce addiction, his opinion of the recent Lancet trial, and what it will take for these drugs to be widely adopted as treatments for substance use disorders. The following has been lightly edited for clarity and grammar.

Ed Cara, Gizmodo: Do we have any sort of sense yet as to how or why GLP-1s seem to be working well against substance use disorders?

Asim Shah: So the craving, or pleasure, center of the brain is related to dopamine, which is a brain neurotransmitter. Whenever you crave something and you eat it or you take it, that gives you pleasure. That is the dopamine functioning in the brain. And all of this is related to the same thing, whether it’s a craving for food, craving for smoking, craving for alcohol, any drug. That’s the neurobiological mechanism of craving and pleasure, and it’s all the same mechanism.

The obesity medication Saxenda, made with liraglutide
© Mohammed_Al_Ali via Shutterstock

And incidentally, we found out that the people who were losing weight on these GLP-1s, they often also stopped smoking cigarettes and their addiction got better with alcohol. It was an incidental finding, but it’s something people are now trying to study more closely.

Gizmodo: Speaking of studies, what do you make of the newest trial published in The Lancet this month?

Shah: So this was a 26 week study, which had about 100 patients, half and half men and women both. In our world, 100 patients is a medium sized study; a larger one might usually have 300, 400, 600 patients. So this is a medium sized study, which is decent. It’s not bad. And in my opinion, it was done pretty well, not a lot of bias in the study that I saw.

Now, of course, this is not a definitive study. And you need to follow up with these patients after the weeks of study. We call these start-up studies, and they are what we base future, longer and bigger studies on. So it’s a good base, and there are other studies on the way.

Gizmodo: Broadly speaking, what are the questions that these longer and larger studies need to try answering?

Shah: So there are a couple of things.

These are different substances that people are looking at; one is alcohol, one smoking, the other is opiates. So the next studies we should be doing is to see whether GLP-1s like semaglutide can limit more than one of these addictions. Because the mechanism is the same mechanism for all the cravings and the addictions. So can it reduce all of these or just one if somebody is taking it?

Boxes of the GLP-1 medication Ozempic
© Sebastien Bozon/AFP via Getty

If we do keep seeing an effect here, it’s also important to know how quickly this happens and whether it can be sustained after you stop using a GLP-1. That’s why we have to follow people after these sorts of trials, to see if the effect can last after they stop taking the medication or if it requires people needing to stay on the drug for the effect.

Gizmodo: These sort of studies are happening. But what should be the current takeaway for people with these addictions and their doctor? Is this something that could be used in the real world right now?

Shah: Because they’re not approved right now, the takeaway should be that if you already have a current indication to take a GLP-1 which is for diabetes or obesity, certainly take it. If you also get an added advantage of stopping your smoking or alcohol use disorder, that is well and good because we don’t have approval for these disorders currently.

So in other words, if somebody comes to us and says, “Hey, I want to start these medicines for smoking cessation or alcohol use disorder,” we may not be able to prescribe it because there’s no approval. But they can be part of a study which is going on in some centers for those disorders. And if somebody already is using them for diabetes or so, and in addition, they get a benefit for alcoholism, that’s great, too.

#Ozempic #Treat #Alcoholism #Heresaddiction,Alcoholism,GLP-1s,Ozempic,Q&As

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