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Prime editing has continuously improved since David R. Liu's lab introduced it in 2019. 3 new studies from his lab advance prime editing systems, addressing key bottlenecks by increasing the efficiency and improving its potency when delivered into the body.

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Broad Institute

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23,280 görüntüleme • 1 ay önce •via X (Twitter)

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IMO the most important scientific event this week was the publication of David R. Liu’s new Nature article 🧵👇in which he presented a new and promising Gene Editing modality named PERT - Prime Editing-mediated Readthrough of premature termination codons. This new modality - which uses Prime Editing to converted a regular tRNA gene into a highly optimized suppressor tRNA thus enabling permanent readthrough of premature stop codons, could potentially provide a one-time curative treatment for countless nonsense mutations which are responsible for almost one-third of all human genetic diseases! Here is an excellent lecture by Prof. David Liu - one of the most important scientists and innovators of our lifetime and the person who invented both Base editing and Prime editing - the 2 top leading modalities of Gene Editing, in which he throughly explains this huge scientific breakthrough. $PRME $BEAM
11:25

IMO the most important scientific event this week was the publication of David R. Liu’s new Nature article 🧵👇in which he presented a new and promising Gene Editing modality named PERT - Prime Editing-mediated Readthrough of premature termination codons. This new modality - which uses Prime Editing to converted a regular tRNA gene into a highly optimized suppressor tRNA thus enabling permanent readthrough of premature stop codons, could potentially provide a one-time curative treatment for countless nonsense mutations which are responsible for almost one-third of all human genetic diseases! Here is an excellent lecture by Prof. David Liu - one of the most important scientists and innovators of our lifetime and the person who invented both Base editing and Prime editing - the 2 top leading modalities of Gene Editing, in which he throughly explains this huge scientific breakthrough. $PRME $BEAM

Yair Einhorn

62,189 görüntüleme • 9 ay önce

I would strongly advise every American leader and policymaker to listen carefully to David R. Liu - the most important scientist and innovator of our lifetime and the person who invented both Base editing & Prime editing - the 2 top leading modalities of Gene editing, when he describes in 60 Minutes the grave danger which the American BioTech ecosystem is facing due to insufficient federal funding. America is already losing its technological and innovative edge! $BEAM $PRME
3:24

I would strongly advise every American leader and policymaker to listen carefully to David R. Liu - the most important scientist and innovator of our lifetime and the person who invented both Base editing & Prime editing - the 2 top leading modalities of Gene editing, when he describes in 60 Minutes the grave danger which the American BioTech ecosystem is facing due to insufficient federal funding. America is already losing its technological and innovative edge! $BEAM $PRME

Yair Einhorn

173,795 görüntüleme • 9 ay önce

$NXXT gets the tech from MIT Labs to bring it to the Grid Battery innovation doesn’t start on social media — it starts in research labs. The Massachusetts Institute of Technology (MIT) has been responsible for major breakthroughs in battery materials and energy storage science. That research was licensed and commercialized by A123 Systems, a company built to turn advanced lithium-ion chemistry into industrial-grade systems. Now NextNRG ($NXXT) is entering a relationship with A123 to advance U.S.-manufactured battery energy storage projects. This is a clear lab-to-grid pathway: MIT science, A123 manufacturing, and NXXT deployment into real infrastructure.
0:28

$NXXT gets the tech from MIT Labs to bring it to the Grid Battery innovation doesn’t start on social media — it starts in research labs. The Massachusetts Institute of Technology (MIT) has been responsible for major breakthroughs in battery materials and energy storage science. That research was licensed and commercialized by A123 Systems, a company built to turn advanced lithium-ion chemistry into industrial-grade systems. Now NextNRG ($NXXT) is entering a relationship with A123 to advance U.S.-manufactured battery energy storage projects. This is a clear lab-to-grid pathway: MIT science, A123 manufacturing, and NXXT deployment into real infrastructure.

Victor Renard

17,996,463 görüntüleme • 7 ay önce

David Seymour slices Tova O'Brien into fine mince in this clip from 2019. Showing that its actually quite easy to rebut her constant refrain of sad out-date "progressive" and separatist narratives. No MP should be frightened off a public TV appearance by such a pitiful left wing hack. Least of all the Prime Minister.
3:30

David Seymour slices Tova O'Brien into fine mince in this clip from 2019. Showing that its actually quite easy to rebut her constant refrain of sad out-date "progressive" and separatist narratives. No MP should be frightened off a public TV appearance by such a pitiful left wing hack. Least of all the Prime Minister.

The Redbaiter

13,422 görüntüleme • 4 ay önce

Can we map the mind of an LLM? Our first mechanistic interpretability episode on Training Data featuring Goodfire founder Eric Ho (and our first cameo from Roelof Botha!) Goodfire is building an independent mech interp lab, led by some heavyweight researchers from the field (e.g. Lee Sharkey who has led a lot of important work in sparse autoencoders to "unscramble" LLMs and resolve superposition, Nick who has been a key pioneer behind auto interpretability) On this episode, Eric gives us a flyover of the technical results so far from this nascent field (universality, superposition), what's ahead in the research (going from circuits to weights, going from understanding to increasingly surgical editing), a preview of the real-world work they're doing already with Arc Institute, and the impact he expects Goodfire and the broader field to have on steering, safety, editing and more.
1:30

Can we map the mind of an LLM? Our first mechanistic interpretability episode on Training Data featuring Goodfire founder Eric Ho (and our first cameo from Roelof Botha!) Goodfire is building an independent mech interp lab, led by some heavyweight researchers from the field (e.g. Lee Sharkey who has led a lot of important work in sparse autoencoders to "unscramble" LLMs and resolve superposition, Nick who has been a key pioneer behind auto interpretability) On this episode, Eric gives us a flyover of the technical results so far from this nascent field (universality, superposition), what's ahead in the research (going from circuits to weights, going from understanding to increasingly surgical editing), a preview of the real-world work they're doing already with Arc Institute, and the impact he expects Goodfire and the broader field to have on steering, safety, editing and more.

Sonya Huang 🐥

19,379 görüntüleme • 1 yıl önce

Scenes out of Byron, New York, where Genesee County has been flattened beyond repair for foreign corporations intent on grabbing green energy credits and subsidies. Genesee County, not coincidentally, has the highest percentage of classified farmland of any county in New York. Since New York State uses its own soil classification system for farmland (starting in 2020), it’s been able to downgrade what’s considered prime farmland by U.S. Department of Agriculture standards. Why would New York want to do that? Foreign developers have to pay to “mitigate” the loss of prime farmland. By downgrading what’s considered prime, it spares the corporations from having to pay for the destruction of the land that feeds us. This is the biggest grift ever peddled on the people on New York. And now this is the disgustingly hideous result. This video was filmed by Jennifer Suzanne.
0:40

Scenes out of Byron, New York, where Genesee County has been flattened beyond repair for foreign corporations intent on grabbing green energy credits and subsidies. Genesee County, not coincidentally, has the highest percentage of classified farmland of any county in New York. Since New York State uses its own soil classification system for farmland (starting in 2020), it’s been able to downgrade what’s considered prime farmland by U.S. Department of Agriculture standards. Why would New York want to do that? Foreign developers have to pay to “mitigate” the loss of prime farmland. By downgrading what’s considered prime, it spares the corporations from having to pay for the destruction of the land that feeds us. This is the biggest grift ever peddled on the people on New York. And now this is the disgustingly hideous result. This video was filmed by Jennifer Suzanne.

Alex Fasulo

46,190 görüntüleme • 2 ay önce

IEEE recently recognized the 40th anniversary of the FPGA at an event at AMD in San Jose. When it made its debut four decades ago, the FPGA introduced a new kind of flexibility in hardware that has reshaped the semiconductor industry. The IEEE event honored AMD and the engineers, partners, and customers who made it possible. It also paid tribute to the decades of innovation and collaboration that continue to power innovation across so many applications, from communications, automotive, and industrial systems, to aerospace, data centers, and physical AI systems at the edge.
1:20

IEEE recently recognized the 40th anniversary of the FPGA at an event at AMD in San Jose. When it made its debut four decades ago, the FPGA introduced a new kind of flexibility in hardware that has reshaped the semiconductor industry. The IEEE event honored AMD and the engineers, partners, and customers who made it possible. It also paid tribute to the decades of innovation and collaboration that continue to power innovation across so many applications, from communications, automotive, and industrial systems, to aerospace, data centers, and physical AI systems at the edge.

AMD Embedded

11,158 görüntüleme • 5 ay önce

EXTREMELY CONCERNING 🚨 PRIME Drinks is going through a lawsuit. “The lawyer who tested their drink is claiming it has 3x the amount of forever chemicals a human can safely have in their lifetime” What exactly is it that the FDA even does in America? “PRIME is now getting sued and you should be seriously concerned if you have any prime since it released. So prime is now going through a new lawsuit after it was discovered that their drink has PFOs which is forever chemicals but what's really concerning is the fact that the lawyer who tested their drink is claiming it has three times the amount of forever chemicals a human can safely have in their lifetime and the lawsuit is claiming they found these forever chemicals in the grape flavored prime drink. However, it also seems like other flavors might also have these chemicals because other prime flavors are being tested. And we're going to find out after the lawsuit is approved. One lawyer on TikTok actually spoke about this and said he had a 10 year old and his mother talked him about how her son got leukemia after drinking prime. Now knowing that prime contains these chemicals, it's very much likely because of it. These chemicals are known to cause cancers and deteriorate your health since they're forever chemicals and your body can't get rid of them. Prime has 3 times the amount of these chemicals a person should have in their lifetime. —So if you still drink Prime or have any make sure you dispose of all of it until we find out what's going on”
1:00

EXTREMELY CONCERNING 🚨 PRIME Drinks is going through a lawsuit. “The lawyer who tested their drink is claiming it has 3x the amount of forever chemicals a human can safely have in their lifetime” What exactly is it that the FDA even does in America? “PRIME is now getting sued and you should be seriously concerned if you have any prime since it released. So prime is now going through a new lawsuit after it was discovered that their drink has PFOs which is forever chemicals but what's really concerning is the fact that the lawyer who tested their drink is claiming it has three times the amount of forever chemicals a human can safely have in their lifetime and the lawsuit is claiming they found these forever chemicals in the grape flavored prime drink. However, it also seems like other flavors might also have these chemicals because other prime flavors are being tested. And we're going to find out after the lawsuit is approved. One lawyer on TikTok actually spoke about this and said he had a 10 year old and his mother talked him about how her son got leukemia after drinking prime. Now knowing that prime contains these chemicals, it's very much likely because of it. These chemicals are known to cause cancers and deteriorate your health since they're forever chemicals and your body can't get rid of them. Prime has 3 times the amount of these chemicals a person should have in their lifetime. —So if you still drink Prime or have any make sure you dispose of all of it until we find out what's going on”

Wall Street Apes

9,887,049 görüntüleme • 2 yıl önce

InstantDrag Improving Interactivity in Drag-based Image Editing discuss: Drag-based image editing has recently gained popularity for its interactivity and precision. However, despite the ability of text-to-image models to generate samples within a second, drag editing still lags behind due to the challenge of accurately reflecting user interaction while maintaining image content. Some existing approaches rely on computationally intensive per-image optimization or intricate guidance-based methods, requiring additional inputs such as masks for movable regions and text prompts, thereby compromising the interactivity of the editing process. We introduce InstantDrag, an optimization-free pipeline that enhances interactivity and speed, requiring only an image and a drag instruction as input. InstantDrag consists of two carefully designed networks: a drag-conditioned optical flow generator (FlowGen) and an optical flow-conditioned diffusion model (FlowDiffusion). InstantDrag learns motion dynamics for drag-based image editing in real-world video datasets by decomposing the task into motion generation and motion-conditioned image generation. We demonstrate InstantDrag's capability to perform fast, photo-realistic edits without masks or text prompts through experiments on facial video datasets and general scenes. These results highlight the efficiency of our approach in handling drag-based image editing, making it a promising solution for interactive, real-time applications.
0:46

InstantDrag Improving Interactivity in Drag-based Image Editing discuss: Drag-based image editing has recently gained popularity for its interactivity and precision. However, despite the ability of text-to-image models to generate samples within a second, drag editing still lags behind due to the challenge of accurately reflecting user interaction while maintaining image content. Some existing approaches rely on computationally intensive per-image optimization or intricate guidance-based methods, requiring additional inputs such as masks for movable regions and text prompts, thereby compromising the interactivity of the editing process. We introduce InstantDrag, an optimization-free pipeline that enhances interactivity and speed, requiring only an image and a drag instruction as input. InstantDrag consists of two carefully designed networks: a drag-conditioned optical flow generator (FlowGen) and an optical flow-conditioned diffusion model (FlowDiffusion). InstantDrag learns motion dynamics for drag-based image editing in real-world video datasets by decomposing the task into motion generation and motion-conditioned image generation. We demonstrate InstantDrag's capability to perform fast, photo-realistic edits without masks or text prompts through experiments on facial video datasets and general scenes. These results highlight the efficiency of our approach in handling drag-based image editing, making it a promising solution for interactive, real-time applications.

AK

71,232 görüntüleme • 1 yıl önce

🦆🦠 : UBC professor Dr. Steven Pelech explains that H5N1 has gone through pathogenic reassortment over 100 times on Canadian poultry farms, in just the last few years. He also explains this is likely happening in the wild among migratory birds. The H5N1 virus that infected the ostriches in Canada over 250 days ago, had it's origins in a US bio lab where serial passage experiments had been done to help the virus evolve. It's a Gain of Function (GoF) generated virus. Covid-19 was also a Gain of Function virus, from a lab in Wuhan China. Until we start addressing the issue of lab tinkered viruses, we will be in very grave danger from the very institutions that are supposed to be protecting us from pandemics. Remember folks, over 1 billion birds just migrated into the Southern portion of the USA and into Mexico, fleeing the cold North America winter that is rapidly approaching. Tens of millions of those birds will be carrying strains of the lab generated H5N1 virus. To date, only 1 person in Canada actually caught H5N1 since 1997 and they recovered. So all of this is hysteria to deflect from the fact that once again humanity and our food supply has been put at risk, by a bio lab. How many more times will Canadians & Canadian farmers be punished because of a lab tinkered virus? Full 35 minute video can be found in link...
1:14

🦆🦠 : UBC professor Dr. Steven Pelech explains that H5N1 has gone through pathogenic reassortment over 100 times on Canadian poultry farms, in just the last few years. He also explains this is likely happening in the wild among migratory birds. The H5N1 virus that infected the ostriches in Canada over 250 days ago, had it's origins in a US bio lab where serial passage experiments had been done to help the virus evolve. It's a Gain of Function (GoF) generated virus. Covid-19 was also a Gain of Function virus, from a lab in Wuhan China. Until we start addressing the issue of lab tinkered viruses, we will be in very grave danger from the very institutions that are supposed to be protecting us from pandemics. Remember folks, over 1 billion birds just migrated into the Southern portion of the USA and into Mexico, fleeing the cold North America winter that is rapidly approaching. Tens of millions of those birds will be carrying strains of the lab generated H5N1 virus. To date, only 1 person in Canada actually caught H5N1 since 1997 and they recovered. So all of this is hysteria to deflect from the fact that once again humanity and our food supply has been put at risk, by a bio lab. How many more times will Canadians & Canadian farmers be punished because of a lab tinkered virus? Full 35 minute video can be found in link...

Bruce McGonigal

12,977 görüntüleme • 10 ay önce

How can generative AI and Robotics help advance drug discovery？ 🚀 Excited to introduce LUMI-lab! A foundation model-driven Self-Driving Lab (SDL) for autonomous ionizable lipid discovery in mRNA delivery 🤖🔍 🔬 What is LUMI-lab? LUMI-lab integrates molecular foundation models with autonomous robotic experiments to efficiently explore new LNPs (lipid nanoparticles, mRNA delivery vehicles) with minimal wet-lab data. 🔥 Key Highlights: - 🧠 Foundation model trained on 28M molecules using a three-step strategy: - Unsupervised pretraining to capture broad molecular knowledge - Continual pretraining to specialize in lipid-like molecules - Active learning fine-tuning within a closed-loop experimental system - 🤖 1,700+ new LNPs synthesized & tested across 10 iterative cycles - 🧪 Brominated lipids autonomously identified as a novel structural feature that enhances mRNA transfection—an insight previously unrecognized in LNP design - 🏆 20.3% in vivo CRISPR gene editing efficiency in lung epithelial cells—the highest reported for inhaled LNPs 🚀 Why it matters? LNPs are the backbone of mRNA therapeutics, yet discovery has been slow due to data scarcity. LUMI-lab shows that AI-powered autonomous labs can accelerate mRNA delivery innovation🚀💡 🌐 Beyond mRNA drugs, LUMI-lab exemplifies a scalable framework for AI-driven molecular discovery, pushing boundaries in material science & drug delivery. 📜 Read the preprint: 🔗 💻 Code available on GitHub: 🔗 #AI #DrugDiscovery #mRNA #LNP #SyntheticBiology 🙏 A huge team effort behind this work, with special appreciation to Bowen LI for driving the project. Kudos to Haotian Cui, @YueXu1995, Kuan Pang, Gen Li, and Bettycat567!
1:05

How can generative AI and Robotics help advance drug discovery？ 🚀 Excited to introduce LUMI-lab! A foundation model-driven Self-Driving Lab (SDL) for autonomous ionizable lipid discovery in mRNA delivery 🤖🔍 🔬 What is LUMI-lab? LUMI-lab integrates molecular foundation models with autonomous robotic experiments to efficiently explore new LNPs (lipid nanoparticles, mRNA delivery vehicles) with minimal wet-lab data. 🔥 Key Highlights: - 🧠 Foundation model trained on 28M molecules using a three-step strategy: - Unsupervised pretraining to capture broad molecular knowledge - Continual pretraining to specialize in lipid-like molecules - Active learning fine-tuning within a closed-loop experimental system - 🤖 1,700+ new LNPs synthesized & tested across 10 iterative cycles - 🧪 Brominated lipids autonomously identified as a novel structural feature that enhances mRNA transfection—an insight previously unrecognized in LNP design - 🏆 20.3% in vivo CRISPR gene editing efficiency in lung epithelial cells—the highest reported for inhaled LNPs 🚀 Why it matters? LNPs are the backbone of mRNA therapeutics, yet discovery has been slow due to data scarcity. LUMI-lab shows that AI-powered autonomous labs can accelerate mRNA delivery innovation🚀💡 🌐 Beyond mRNA drugs, LUMI-lab exemplifies a scalable framework for AI-driven molecular discovery, pushing boundaries in material science & drug delivery. 📜 Read the preprint: 🔗 💻 Code available on GitHub: 🔗 #AI #DrugDiscovery #mRNA #LNP #SyntheticBiology 🙏 A huge team effort behind this work, with special appreciation to Bowen LI for driving the project. Kudos to Haotian Cui, @YueXu1995, Kuan Pang, Gen Li, and Bettycat567!

Bo Wang

27,626 görüntüleme • 1 yıl önce

The COVID Infection Alone — Without the Vaccine — May Have Already Increased Cancer Risk. The Vaccine Made It Worse. And Cancer Research Is Still Ignoring Both. The spike protein from the Wuhan lab-origin virus suppresses P53 and BRCA tumor surveillance systems. Infection loads it into the body. The vaccine loads in more. Research stratifying cancer outcomes by vaccination status, number of doses, product type, and number of COVID infections does not yet exist at scale. Companies aren't doing it. The NCI isn't funding it. Senator Ron Johnson's hearings are forcing the conversation. The data is being ignored — and that choice has a body count. Join the Fight: Courtesy of Real America's Voice Real America's Voice (RAV), Live From Studio 6B Live From Studio 6B #MedicalFreedom
0:44

The COVID Infection Alone — Without the Vaccine — May Have Already Increased Cancer Risk. The Vaccine Made It Worse. And Cancer Research Is Still Ignoring Both. The spike protein from the Wuhan lab-origin virus suppresses P53 and BRCA tumor surveillance systems. Infection loads it into the body. The vaccine loads in more. Research stratifying cancer outcomes by vaccination status, number of doses, product type, and number of COVID infections does not yet exist at scale. Companies aren't doing it. The NCI isn't funding it. Senator Ron Johnson's hearings are forcing the conversation. The data is being ignored — and that choice has a body count. Join the Fight: Courtesy of Real America's Voice Real America's Voice (RAV), Live From Studio 6B Live From Studio 6B #MedicalFreedom

McCullough Foundation

12,453 görüntüleme • 1 ay önce

This is what happens when you give big microphones to kids. PS: Withania somnifera, popularly known as ashwagandha (also Indian Ginseng), is a commonly used and marketed herb as part of Ayurvedic herbals and dietary supplements for relieving stress and anxiety, improving sleep, increasing muscle mass and strength, improving sexual function in both males and females, increasing memory and as “immune-booster.”.... ....Nonetheless, conclusive evidence from rigorous, methodologically sound, well-designed, validated, and replicated trials does not exist for the aforementioned indications. Ashwagandha is marketed as clinically beneficial for many conditions, including improved exercise capacity and physical performance, increased testosterone, improved sleep, and reduced stress and anxiety. However, the highest level of clinical evidence from available studies does not clarify these findings. Please see this: The increasing use of ashwagandha for advertised but nonevidence-based indications has led to an increase in published reports associated with its liver toxicity. Please read our work and critical review of literature on it: Ashwagandha-induced liver injury—A case series from India and literature review
1:27

This is what happens when you give big microphones to kids. PS: Withania somnifera, popularly known as ashwagandha (also Indian Ginseng), is a commonly used and marketed herb as part of Ayurvedic herbals and dietary supplements for relieving stress and anxiety, improving sleep, increasing muscle mass and strength, improving sexual function in both males and females, increasing memory and as “immune-booster.”.... ....Nonetheless, conclusive evidence from rigorous, methodologically sound, well-designed, validated, and replicated trials does not exist for the aforementioned indications. Ashwagandha is marketed as clinically beneficial for many conditions, including improved exercise capacity and physical performance, increased testosterone, improved sleep, and reduced stress and anxiety. However, the highest level of clinical evidence from available studies does not clarify these findings. Please see this: The increasing use of ashwagandha for advertised but nonevidence-based indications has led to an increase in published reports associated with its liver toxicity. Please read our work and critical review of literature on it: Ashwagandha-induced liver injury—A case series from India and literature review

TheLiverDoc™

455,716 görüntüleme • 2 yıl önce

🇺🇸🇮🇱 The relationship between Trump and Netanyahu has shifted into a "big brother, little brother" dynamic that defines Israeli policy. Former State Dept. analyst Aaron David Miller says that Netanyahu cannot afford to cross a president who is currently more popular in Israel than the Prime Minister himself. The embrace of the U.S. administration means Israel must now play by Trump’s rules, even when those rules are delivered via surprise posts on social media. Aaron David Miller
2:51

🇺🇸🇮🇱 The relationship between Trump and Netanyahu has shifted into a "big brother, little brother" dynamic that defines Israeli policy. Former State Dept. analyst Aaron David Miller says that Netanyahu cannot afford to cross a president who is currently more popular in Israel than the Prime Minister himself. The embrace of the U.S. administration means Israel must now play by Trump’s rules, even when those rules are delivered via surprise posts on social media. Aaron David Miller

Mario Nawfal

66,695 görüntüleme • 4 ay önce

Dr. David Sinclair says his lab at Harvard grew a miniature human brain in a dish. Then two small black dots appeared on its surface. They were eyes. These brains are grown from single human cells. They develop the same structures found in a full human brain... They even have measurable brain waves... And under a microscope, you can see calcium signals firing like fireworks. This indicates neurons are communicating with each other in the same way neurons in your brain are firing right now as you read this. After about a year, the firing fades and the brain loses function. Sinclair says when his team treats these aging brains with three "longevity" genes called OSK, the firing comes back on. They have also introduced Alzheimer's disease into these brains. Using the same three genes, it reverses. He says this technology is not limited to brains. His lab has reversed aging in the eye, liver, kidney, and skin. Every tissue responds to the same treatment. Now the first human trial is coming. — David Sinclair (David Sinclair) on Tom Bilyeu's (Tom Bilyeu) podcast PS. David Sinclair is speaking at SynBioBeta on May 6th this year, discussing the science of slowing and reversing aging. Tickets available in the comments below.
1:24

Dr. David Sinclair says his lab at Harvard grew a miniature human brain in a dish. Then two small black dots appeared on its surface. They were eyes. These brains are grown from single human cells. They develop the same structures found in a full human brain... They even have measurable brain waves... And under a microscope, you can see calcium signals firing like fireworks. This indicates neurons are communicating with each other in the same way neurons in your brain are firing right now as you read this. After about a year, the firing fades and the brain loses function. Sinclair says when his team treats these aging brains with three "longevity" genes called OSK, the firing comes back on. They have also introduced Alzheimer's disease into these brains. Using the same three genes, it reverses. He says this technology is not limited to brains. His lab has reversed aging in the eye, liver, kidney, and skin. Every tissue responds to the same treatment. Now the first human trial is coming. — David Sinclair (David Sinclair) on Tom Bilyeu's (Tom Bilyeu) podcast PS. David Sinclair is speaking at SynBioBeta on May 6th this year, discussing the science of slowing and reversing aging. Tickets available in the comments below.

John Cumbers

157,553 görüntüleme • 4 ay önce

They are now arresting parents who try to rescue their children from Muslim Grooming gangs in The UK. What did Mayor of London, Sadiq Khan know about the r@pe jihad within his domain and when did he know it? What did Prime Minister, Keir Starmer, know since he was head of Crown Prosecution Services from 2008-2013? And where are all the "good Muslims" speaking out against the coverup of r@pe holocaust in The UK. Elon Musk Tommy Robinson 🇬🇧
5:16

They are now arresting parents who try to rescue their children from Muslim Grooming gangs in The UK. What did Mayor of London, Sadiq Khan know about the r@pe jihad within his domain and when did he know it? What did Prime Minister, Keir Starmer, know since he was head of Crown Prosecution Services from 2008-2013? And where are all the "good Muslims" speaking out against the coverup of r@pe holocaust in The UK. Elon Musk Tommy Robinson 🇬🇧

Don Keith

861,665 görüntüleme • 1 yıl önce

Mr. Ajay Banga, President, World Bank Group (WBG) calls on Prime Minister Muhammad Shehbaz Sharif Pakistan acknowledges the World Bank Group’s valuable support which has been instrumental in advancing Pakistan's economic development and reforms. Prime Minister Mr. Ajay Banga, President, World Bank Group (WBG) calls on Prime Minister Muhammad Shehbaz Sharif in Islamabad today. Prime Minister welcomed Mr. Ajay Banga at his first official visit as President of the World Bank Group. The Prime Minister appreciated the World Bank Group for its long-standing partnership with Pakistan and its commitment to supporting the development priorities of the country especially through the 10-year World Bank Group Country Partnership Framework (CPF). The Premier also appreciated Mr.Banga's leadership in transforming the World Bank Group into more impactful development partner. Prime Minister stated that Government of Pakistan is vigorously working on economic reform agenda with multi-pronged comprehensive structural home grown program aimed at sustainable economic stability. The Prime Minister appreciated the support of the World Bank Group in resilient infrastructure, agribusiness, digital development, energy, human capital, fiscal reforms, and increasing productive private investment for job creation and growth. Prime Minister and Mr.Banga reiterated the need to fast-track implementation and ensure strong oversight to deliver impact at speed and scale on CPF-aligned priorities. These measures would duly assist Prime Minister’s initiative to address and resolve Implementation Bottlenecks in development projects. The Prime Minister expressed the government’s commitment to structural reforms that would unlock job-rich growth and further strengthen investors' confidence. Mr. Ajay Banga expressed his gratitude to the Prime Minister for his reception and hospitality in Pakistan. Mr. Ajay Banga commended Government of Pakistan’s ongoing reform efforts and reaffirmed his commitment to deepening cooperation through a One World Bank Group approach. He added that greater leverage of private resources, in addition to strong coordination with development partners, is necessary to meet the ambition of the government’s reform agenda.
0:27

Mr. Ajay Banga, President, World Bank Group (WBG) calls on Prime Minister Muhammad Shehbaz Sharif Pakistan acknowledges the World Bank Group’s valuable support which has been instrumental in advancing Pakistan's economic development and reforms. Prime Minister Mr. Ajay Banga, President, World Bank Group (WBG) calls on Prime Minister Muhammad Shehbaz Sharif in Islamabad today. Prime Minister welcomed Mr. Ajay Banga at his first official visit as President of the World Bank Group. The Prime Minister appreciated the World Bank Group for its long-standing partnership with Pakistan and its commitment to supporting the development priorities of the country especially through the 10-year World Bank Group Country Partnership Framework (CPF). The Premier also appreciated Mr.Banga's leadership in transforming the World Bank Group into more impactful development partner. Prime Minister stated that Government of Pakistan is vigorously working on economic reform agenda with multi-pronged comprehensive structural home grown program aimed at sustainable economic stability. The Prime Minister appreciated the support of the World Bank Group in resilient infrastructure, agribusiness, digital development, energy, human capital, fiscal reforms, and increasing productive private investment for job creation and growth. Prime Minister and Mr.Banga reiterated the need to fast-track implementation and ensure strong oversight to deliver impact at speed and scale on CPF-aligned priorities. These measures would duly assist Prime Minister’s initiative to address and resolve Implementation Bottlenecks in development projects. The Prime Minister expressed the government’s commitment to structural reforms that would unlock job-rich growth and further strengthen investors' confidence. Mr. Ajay Banga expressed his gratitude to the Prime Minister for his reception and hospitality in Pakistan. Mr. Ajay Banga commended Government of Pakistan’s ongoing reform efforts and reaffirmed his commitment to deepening cooperation through a One World Bank Group approach. He added that greater leverage of private resources, in addition to strong coordination with development partners, is necessary to meet the ambition of the government’s reform agenda.

Badar Shahbaz 🇵🇰

16,231 görüntüleme • 6 ay önce

INEC Has Introduced An Electronic Ec8a — Itodo When the preceding officer fills the hard copy result sheets, they are expected to enter those results into an electronic version of that result sheet on the BVAS. It is a new procedure introduced by INEC which was test-run in the FCT and Ekiti elections. We now have 3 different tracks for results from one particular polling unit. Samson Itodo Director at Yiaga Africa
4:06

INEC Has Introduced An Electronic Ec8a — Itodo When the preceding officer fills the hard copy result sheets, they are expected to enter those results into an electronic version of that result sheet on the BVAS. It is a new procedure introduced by INEC which was test-run in the FCT and Ekiti elections. We now have 3 different tracks for results from one particular polling unit. Samson Itodo Director at Yiaga Africa

ARISE NEWS

45,991 görüntüleme • 1 ay önce

Welcome to the Lab of the Future! 🧬🤖 Excited to share LUMI-lab, out today in Cell — a self-driving platform that pairs an AI foundation model with a robotic lab to autonomously discover ionizable lipids (LNPs) for mRNA delivery. The core problem: Designing lipid nanoparticles (LNPs) is hard. The chemical space of ionizable lipids is vast, experimental cycles are slow, and — critically — historical LNP datasets are far too small to train a predictive model from scratch. Most AI approaches in this space hit a wall immediately: not enough data to learn from. Our solution: lab-in-the-loop foundation model learning. Instead of training on LNP data alone, LUMI starts as a transformer-based foundation model pretrained across broad chemical space, building rich molecular representations before it ever sees a single LNP experiment. Then it enters a closed loop with a robotic synthesis platform: predict → synthesize → assay → update. Each round of real wet-lab experiments fine-tunes the model, which then proposes smarter candidates for the next round. The lab isn't just validating AI predictions — it's actively teaching the model, continuously. What happened when we let it run: LUMI-lab autonomously synthesized and screened 1,700+ ionizable lipids in human bronchial epithelial cells. The top candidate — LUMI-6 — features a brominated lipid tail, a structural motif that had been largely overlooked in LNP design. LUMI found it without being told where to look. When formulated into LNPs and delivered intratracheally to mice, LUMI-6 achieved 20.3% gene editing efficiency in lung epithelial cells — a compelling result for one of the hardest-to-reach therapeutic targets, directly relevant to diseases like cystic fibrosis and alpha-1 antitrypsin deficiency. Why this matters beyond LNPs: This is a proof of concept for a broader thesis — that foundation model pretraining + active learning + robotic experimentation can overcome the data scarcity bottleneck that plagues AI-driven discovery in biology. You don't need a massive domain-specific dataset to start. You need a model that can generalize, a lab that can generate the right data, and a loop that connects them. Huge congratulations to first authors Yue Xu, Haotian Cui, and Kuan Pang, and to the entire Bowen LI team. Grateful to our collaborators at University Health Network and Leslie Dan Faculty of Pharmacy, and to Princess Margaret Cancer Centre Research Princess Margaret Cancer Centre Research. 📄 Paper:
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Welcome to the Lab of the Future! 🧬🤖 Excited to share LUMI-lab, out today in Cell — a self-driving platform that pairs an AI foundation model with a robotic lab to autonomously discover ionizable lipids (LNPs) for mRNA delivery. The core problem: Designing lipid nanoparticles (LNPs) is hard. The chemical space of ionizable lipids is vast, experimental cycles are slow, and — critically — historical LNP datasets are far too small to train a predictive model from scratch. Most AI approaches in this space hit a wall immediately: not enough data to learn from. Our solution: lab-in-the-loop foundation model learning. Instead of training on LNP data alone, LUMI starts as a transformer-based foundation model pretrained across broad chemical space, building rich molecular representations before it ever sees a single LNP experiment. Then it enters a closed loop with a robotic synthesis platform: predict → synthesize → assay → update. Each round of real wet-lab experiments fine-tunes the model, which then proposes smarter candidates for the next round. The lab isn't just validating AI predictions — it's actively teaching the model, continuously. What happened when we let it run: LUMI-lab autonomously synthesized and screened 1,700+ ionizable lipids in human bronchial epithelial cells. The top candidate — LUMI-6 — features a brominated lipid tail, a structural motif that had been largely overlooked in LNP design. LUMI found it without being told where to look. When formulated into LNPs and delivered intratracheally to mice, LUMI-6 achieved 20.3% gene editing efficiency in lung epithelial cells — a compelling result for one of the hardest-to-reach therapeutic targets, directly relevant to diseases like cystic fibrosis and alpha-1 antitrypsin deficiency. Why this matters beyond LNPs: This is a proof of concept for a broader thesis — that foundation model pretraining + active learning + robotic experimentation can overcome the data scarcity bottleneck that plagues AI-driven discovery in biology. You don't need a massive domain-specific dataset to start. You need a model that can generalize, a lab that can generate the right data, and a loop that connects them. Huge congratulations to first authors Yue Xu, Haotian Cui, and Kuan Pang, and to the entire Bowen LI team. Grateful to our collaborators at University Health Network and Leslie Dan Faculty of Pharmacy, and to Princess Margaret Cancer Centre Research Princess Margaret Cancer Centre Research. 📄 Paper:

Bo Wang

57,510 görüntüleme • 6 ay önce