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Thanks to Peter Diamandis and Lyn Lear for hosting this marvelous event. It's always a joy to be around optimistic people who have brought such progress to humanity through their thoughtfulness and giving. The people at the event, and the ideas being discussed, were just spectacular.
An amazing afternoon and evening-- underscoring that there's always more to learn when you just listen.
An amazing afternoon and evening-- underscoring that there's always more to learn when you just listen.
Hosting a UAP salon at my home. Here with Avi Loeb, Garry Nolan, Whitley Striber, Peter Skafish and Ryan Graves. Discussing the Science and tech and disclosure.
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Garry P. Nolan retweeted
spooky action at a distance in oncology ...
Scientists injected CpG + anti-OX40 into mouse tumors. Activated T cells attacked both the injected tumor and distant untreated tumors! Could a tumor become its own vaccine? #senomune
pubmed.ncbi.nlm.nih.gov/29386357/
Scientists injected CpG + anti-OX40 into mouse tumors. Activated T cells attacked both the injected tumor and distant untreated tumors! Could a tumor become its own vaccine? #senomune
pubmed.ncbi.nlm.nih.gov/29386357/
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I recently saw Jonah Nigh at a club/show. Really funny and quick-witted! Luckily, I got to see him after the show. So if you are in the New York City area on January 23, 2027... And in range of the Broadway Comedy Club... Totally worth it! Just a few seats left...
broadwaycomedyclub.com/shows/jonah-ni…
broadwaycomedyclub.com/shows/jonah-ni…
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Garry P. Nolan retweeted
Scientists just watched the drug technology we are developing destroy bacteria in real time, in a way that makes resistance nearly impossible.
These small molecules called Claromer peptoids are stable copies of your body’s natural LL-37 defense peptide. In a new study from the ey punch through the pathogen membrane in under five minutes—faster than LL-37 itself.
Once inside, they lock the bacteria’s DNA and ribosomes into a rigid gel.
—> The cell’s machinery freezes. It cannot grow. It cannot repair. It cannot easily evolve resistance.
The molecule has no vulnerability for bacteria to evolve resistance. Just physics and biochemistry mimicking the innate immune peptide that haven’t been able to defeat for over 100 million years of evolution.
This is same class of molecule now advancing toward the clinic as Claromers.
If the full data set holds through FDA approval, this approach could mark the end of antimicrobial resistance as we know it and the start of a single drug class that works against bacterial pathogens, fungal pathogens, and many viruses.
One stable molecule. Many threats. No need for diagnostics. A future in which the infections that currently kill millions become treatable and no longer fear pneumonia, sepsis and many other current leading causes of death.
Link to study in comments. 👇🏻
Your good news for the day. ❤️🩹🫡
If you have questions, ask in comments or you can ask AI about Maxwell Biosciences Claromers.
These small molecules called Claromer peptoids are stable copies of your body’s natural LL-37 defense peptide. In a new study from the ey punch through the pathogen membrane in under five minutes—faster than LL-37 itself.
Once inside, they lock the bacteria’s DNA and ribosomes into a rigid gel.
—> The cell’s machinery freezes. It cannot grow. It cannot repair. It cannot easily evolve resistance.
The molecule has no vulnerability for bacteria to evolve resistance. Just physics and biochemistry mimicking the innate immune peptide that haven’t been able to defeat for over 100 million years of evolution.
This is same class of molecule now advancing toward the clinic as Claromers.
If the full data set holds through FDA approval, this approach could mark the end of antimicrobial resistance as we know it and the start of a single drug class that works against bacterial pathogens, fungal pathogens, and many viruses.
One stable molecule. Many threats. No need for diagnostics. A future in which the infections that currently kill millions become treatable and no longer fear pneumonia, sepsis and many other current leading causes of death.
Link to study in comments. 👇🏻
Your good news for the day. ❤️🩹🫡
If you have questions, ask in comments or you can ask AI about Maxwell Biosciences Claromers.
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I’m not sure people realize what is happening in biomedicine right now with these new capabilities.
Thrilled to be accepted to @GoogleDeepMind’s Antigravity Science Program for the next 6 months!🚀
I believe Gemini Argon is now at the frontier of AI for biomedical science & I’m building exciting new biomed apps with Antigravity!
Let the next offensive against disease begin!🧬
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Garry P. Nolan retweeted
🧬 Design proteins faster and send fewer, better candidates to the lab.
Introducing RFD4-Proteina, a new NVIDIA BioNeMo open model co-developed with @UWproteindesign.
▫️Fast: 13× faster generation than RFdiffusion3 at 200 residues
▫️ Smart: state-of-the-art across 12+ protein mable: set your design inputs and use test-time compute on harder problems
Start with our binder-design tutorial nvda.ws/3VK9Uvr
Introducing RFD4-Proteina, a new NVIDIA BioNeMo open model co-developed with @UWproteindesign.
▫️Fast: 13× faster generation than RFdiffusion3 at 200 residues
▫️ Smart: state-of-the-art across 12+ protein mable: set your design inputs and use test-time compute on harder problems
Start with our binder-design tutorial nvda.ws/3VK9Uvr
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When you look at the teamwork behind work like what was just published here, you realize the coordination required across teams, datasets, and time.
Will AI help us with this coordination? What if we took the same dataset and findings here... and asked AI to coordinate the data, find overlooked relationships, and uncover additional insights? What happens when you add to this the work of thousands of other papers in the space? Mere mortals cannot encompass the range of expertise required to fully plumb the opportunities.
That's an AI/SI goal worth pondering. But what resources would it take to make it happen?
Congratulations to Patel et al., the other authors, and the rest of the team without whose effort a work of this complexity could not come to the aid of patients with dire diseases such as those represented in this publication. And, of course, thanks to the patients and family members whose lives are represented in papers like this.
Will AI help us with this coordination? What if we took the same dataset and findings here... and asked AI to coordinate the data, find overlooked relationships, and uncover additional insights? What happens when you add to this the work of thousands of other papers in the space? Mere mortals cannot encompass the range of expertise required to fully plumb the opportunities.
That's an AI/SI goal worth pondering. But what resources would it take to make it happen?
Congratulations to Patel et al., the other authors, and the rest of the team without whose effort a work of this complexity could not come to the aid of patients with dire diseases such as those represented in this publication. And, of course, thanks to the patients and family members whose lives are represented in papers like this.
SCI member @GarryPNolan & others map cellular states across 54 #neuroblastoma tumors, uncovering ADRN and MES tumor cells. Crucially, high MES gene expression predicts worse survival, independent of clinical risk factors. brnw.ch/21x6p9L
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Garry P. Nolan retweeted
The Sol Foundation's @GarryPNolan and Peter Skafish very much appreciated participating with @ProfAviLoeb and @uncertainvector in this event, organized by @PeterDiamandis and Lyn Lear, on UAP science and disclosure.
Hosting a UAP salon at my home. Here with Avi Loeb, Garry Nolan, Whitley Striber, Peter Skafish and Ryan Graves. Discussing the Science and tech and disclosure.
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Garry P. Nolan retweeted
New word from David Sinclair's Harvard lab at #ARDD2026: "inflammules."
Postdoc Minyan Zheng found structures inside aging cells, built around 3 proteins, that burn NAD, a molecule that falls with age, and switch on inflammation. Early, unpublished. I was in the room.
Postdoc Minyan Zheng found structures inside aging cells, built around 3 proteins, that burn NAD, a molecule that falls with age, and switch on inflammation. Early, unpublished. I was in the room.
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Garry P. Nolan retweeted
@TheUfoJoe Lovely gift. We'll keep the steering wheel, thanks.
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Extraordinarily creative!
Today our lab is excited to share a new study in Cell: “Non-invasive control of gene editing in vivo by photoswitchable Cas12f and focused ultrasound.”
We engineered a compact CRISPR system that can be activated at specific locations in the body using focused ultrasound (🧵)
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It's not going to happen by itself...
🚨 UAP Coalition is now public—an international, civilian-led effort to generate the data needed to drive forward our public understanding of UAP. Learn how the effort took shape and comment on the strategic roadmap for building a global picture of the phenomenon based on real data and quality evidence: uapcoalition.org. Follow the effort: @uapcoalition
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It's like real estate for housing... location location location...
Protein location shapes protein function. A new review highlights how multilocalization enables multifunctionality, while mislocalization contributes to disease. SCI member Emma @Prof_Lundberg & others explore the future of spatial biology. brnw.ch/21x5Uo1
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Garry P. Nolan retweeted
Likely the most significant record in today’s federal government UAP records release is the audio and transcript of a recording of a 1952 talk on then-recent UFO data and events by Captain Edward Ruppelt, the head of the US Air Force’s Project Blue Book in the early 1950s. The Sol Foundation will be reading and analyzing the record of this presentation as you do, and we’ll present our comments publicly soon. We again thank @RepEricBurlison and his staff for locating and declassifying this material.
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Garry P. Nolan retweeted
The Sol Foundation wishes to recognize @RepEricBurlison for yet another victory against blanket UAP secrecy.
✅ We found it.
✅ We pushed for it.
✅ Now NARA confirms the 1952 "flying saucer talk" recording is digitized, declassified, and set for release.
Transparency works when you fight for it.
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Garry P. Nolan retweeted
I've attempted to map everything in oncology in a public website and open source repo for all.
The site is trying to get all cancers, products, technologies, bottlenecks, people, startup opportunities with 1000+ ideas for upgrading the field.
If you have a loved one with nical or can engineer, go take a look, file improvement requests or bugs or help with the open repo and make this the best open and free info resource for individuals, researchers and educational use.
This should save people time, aid AI oncology projects and generate positive action. If you are not technical just complain in this thread about broken or annoying or things you want and I'll fix them live.
Some of the interesting pages:
Treatments: onco.cc/drugs
A gallery of the molecules being used onco.cc/molecules/
And targets: onco.cc/targets/
The technologies in oncology: onco.cc/technologies/
1100 ideas for helping oncology: onco.cc/ideas/
Bottlenecks on oncology: onco.cc/bottlenecks/
Open questions (LETS GO RESEARCH PEOPLE) onco.cc/open-questions/
Startup requests (LETS GO STARTUP PEOPLE) onco.cc/startup-reques…
Mechanics of cancer: onco.cc/mechanics
Battlefronts: onco.cc/fronts/
Isotope supply: onco.cc/isotopes
Key papers: onco.cc/key-papers
Pipeline funnels: onco.cc/pipeline
Cancer by type: onco.cc/cancers/
Institutional rankings: onco.cc/institutions/
The startups: onco.cc/startups/
Heros and heroines : onco.cc/heroes/
Key medical people: onco.cc/people/
Here is the project roadmap: onco.cc/roadmap/
Models and data sets: onco.cc/models/
There are other views as well, take a browse.
Try making a PR if you have an upgrade to this on the repo here: github.com/judegomila/OnCo
If you are biologically/medically minded and something is wrong, file a bug as well or say on the thread and we will get it fixed live.
If this is a useful project star the repo and help get it calibrated.
I've tried to add some other languages but I cannot speak them so tell me if that doesnt work well.
I believe we will crack oncology and having total information dominance is key to the problem.
Let the feedback flow!
The site is trying to get all cancers, products, technologies, bottlenecks, people, startup opportunities with 1000+ ideas for upgrading the field.
If you have a loved one with nical or can engineer, go take a look, file improvement requests or bugs or help with the open repo and make this the best open and free info resource for individuals, researchers and educational use.
This should save people time, aid AI oncology projects and generate positive action. If you are not technical just complain in this thread about broken or annoying or things you want and I'll fix them live.
Some of the interesting pages:
Treatments: onco.cc/drugs
A gallery of the molecules being used onco.cc/molecules/
And targets: onco.cc/targets/
The technologies in oncology: onco.cc/technologies/
1100 ideas for helping oncology: onco.cc/ideas/
Bottlenecks on oncology: onco.cc/bottlenecks/
Open questions (LETS GO RESEARCH PEOPLE) onco.cc/open-questions/
Startup requests (LETS GO STARTUP PEOPLE) onco.cc/startup-reques…
Mechanics of cancer: onco.cc/mechanics
Battlefronts: onco.cc/fronts/
Isotope supply: onco.cc/isotopes
Key papers: onco.cc/key-papers
Pipeline funnels: onco.cc/pipeline
Cancer by type: onco.cc/cancers/
Institutional rankings: onco.cc/institutions/
The startups: onco.cc/startups/
Heros and heroines : onco.cc/heroes/
Key medical people: onco.cc/people/
Here is the project roadmap: onco.cc/roadmap/
Models and data sets: onco.cc/models/
There are other views as well, take a browse.
Try making a PR if you have an upgrade to this on the repo here: github.com/judegomila/OnCo
If you are biologically/medically minded and something is wrong, file a bug as well or say on the thread and we will get it fixed live.
If this is a useful project star the repo and help get it calibrated.
I've tried to add some other languages but I cannot speak them so tell me if that doesnt work well.
I believe we will crack oncology and having total information dominance is key to the problem.
Let the feedback flow!
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Garry P. Nolan retweeted
Nature has just published a pretty incredible paper.
The authors introduce a framework that turns research papers into interactive AI agents.
Rather than engaging with a paper only as static text, researchers can question its agent, ask it to reproduce an analysis, or apply the data.
This could make research methods much easier to understand, reproduce, and use.
It also opens up a strange possibility: research papers that can, in a sense, talk to one another. The authors demonstrate this by connecting agents derived from different papers so that they can combine their methods and data.
Used carefully (and with human scientific judgment still firmly in the loop) this could become a powerful new form of scientific communication.
*
Full paper in the first reply
The authors introduce a framework that turns research papers into interactive AI agents.
Rather than engaging with a paper only as static text, researchers can question its agent, ask it to reproduce an analysis, or apply the data.
This could make research methods much easier to understand, reproduce, and use.
It also opens up a strange possibility: research papers that can, in a sense, talk to one another. The authors demonstrate this by connecting agents derived from different papers so that they can combine their methods and data.
Used carefully (and with human scientific judgment still firmly in the loop) this could become a powerful new form of scientific communication.
*
Full paper in the first reply
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