@GarryPNolani
iAccount based inUnited States
About this account
- Account based in
- United States
- Connected via
- United States Android App
Account-level information from X, not a live location or the device used for a specific post.
Be better than before. Cancer Immunobiology, Bio-AI-Informatics, Member: White House UAP Science Advisory Council, Negative posters blocked w/o pause. 🏳️🌈
Stanford
Joined January 2012
- Tweets5.9K
- Following136
- Followers131K
- Likes3K
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.
Garry P. Nolan retweeted
The Sol Foundation wishes to recognize @RepEricBurlison for yet another victory against blanket UAP secrecy.
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 cancer and you are technical 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-requests/
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!
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 paper’s methods to new 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
Made by... the other CODEX (not OpenAI's). Looks like a piece of art... congrats Negin and Rong!
DYK that lymph nodes fight infection by housing white blood cells that destroy bacteria&viruses? This nodeworthy CODEX image of a lymph node TMA was made by Negin Farzad in Rong Fan’s lab at @Yale. Much like a lymph node that just spotted a foreign body we’re swelling with pride
Garry P. Nolan retweeted
DYK that lymph nodes fight infection by housing white blood cells that destroy bacteria&viruses? This nodeworthy CODEX image of a lymph node TMA was made by Negin Farzad in Rong Fan’s lab at @Yale. Much like a lymph node that just spotted a foreign body we’re swelling with pride
Thank you, Dr. Diamandis.
As I've said for a long time, it's about the data, not the conclusions. Evidence is just data contextualized around a hypothesis. Evidence is not a verdict--but as someone who has worked successfully in scientific research for decades, noticing "data off the curve" that invites curiosity and then exploring its meaning, the one thing I do know is when certain kinds of evidence are, actually, extraordinary.
But when some people (even scientists) say, "There is no evidence", that simply means they don't understand the meaning of the word either in a scientific or a judicial context.
Great stuff
I am building an extremely sophisticated biomedical science application with GPT-6 Astra for analyzing flow cytometry data.
Flow cytometry is one of the most essential technologies in immunology. It allows us to analyze tens of thousands, or even millions, of individual cells from blood, tissues, or other samples, using fluorescently tagged antibodies that identify specific cell types and measure the proteins they express. It's like our window into the world of the cells.
For decades, labs like mine have paid thousands of dollars every year in subscription and licensing fees for commercial software to analyze these datasets. I have canceled all my subscriptions 😊
I have now almost built a fully functional, research-grade version of such an application with Astra! It already has a better UI/UX than many of the tools I have used, and my goal now is to make it even better than the leading commercial applications in this field!
I had in fact built earlier basic versions using previous Codex models, but this is the first time I have reached a version that works exactly the way I want it to, with the interface, analysis workflow, and features behaving almost perfectly. Previous versions took a lot of efforts with many bugs to deal with, with Astra you get what you ask for almost the first shot! It's just unbelievable!
And this is only one project. I have several other highly complex biological and biomedical software applications in my Astra pipeline. At this point, my main bottlenecks are basically token limits and the number of hours I can stay awake and massive coffee stocks! 😂
It is just incredible to think that scientific software that once required specialized development teams, years of engineering, and sometimes million dollar budgets can now be built by someone like me who has no software engineering experience!
With Astra you can just do things! ✨
Garry P. Nolan retweeted
In my new memoir "Holding Fast in Heavy Seas," I describe how our home and entire neighborhood was washed away during Hurricane Katrina. This photo from the book shows what we returned to, which I share in the new podcast DISASTER DIARIES: youtu.be/xKxUDp840ks
Garry P. Nolan retweeted
Happy Friday Everyone! Just a friendly reminder that we’ll be having a book signing this weekend in Annapolis Maryland this Sunday from 3-6pm EDT. Anyone interested in my leadership story is welcome, just direct message me for the address.
Garry P. Nolan retweeted
A step-by-step protocol + real-world multiomic data, all in one place. See how #singlecell protein analysis fits your workflow before you run a single sample. Get started today > bit.ly/4gxgKea
Fantastic work, Kara!
SCI member Kara Davis & others review how lineage switch drives aggressive acute #leukemia relapse, especially under pressure from targeted immunotherapies. Researchers offer guidance for diagnosis, monitoring, and future treatment strategies. brnw.ch/21x5asj
Garry P. Nolan retweeted
SCI members Bendall_Lab, @MikeAngeloLab, & others show how low oxygen drives #glioma progression by suppressing anti-tumor immune responses, identifying new therapeutic targets for aggressive #BrainTumors. brnw.ch/21x54ZT
It was a great conversation and honestly reflective of some of the conversations we have regularly with the Board. Thank you, Dr. Loeb (Harvard) and Dr. Goel (MIT), for joining in this discussion.
It should be clear at this point that everyone wants the data faster, in depth, and with the kind of precision that speaks to what the government now agrees we are observing-- something anomalous. Time and patience are required before we can make anything close to a conclusion. And patience will be required to triple-check the sensors so as to confirm that "anomalous" is not derived from prosaic misinterpretation.
It has escaped no one's notice, however, that the data we need to substantiate the videos' content, meaning, or what is being observed remains absent.
But I will say this... the government has done something extraordinary by letting things get this advanced, and the country thanks President Trump and the partner organizations within the government (ODNI, FBI, AARO, and others) who are helping to bring the data forward.
With hope...
I joined UAP Science Advisory Council members Garry Nolan, Peter Skafish, and Anita Goel to discuss the Council’s work and the scientific path forward on UAP. I am grateful to Peter and Garry (@GarryPNolan) for their thoughtful advice as we navigate this important issue, and proud to welcome Anita (@Nanobiosym) as a new member of the Council. Her expertise will be a valuable addition to our efforts.
Could scarcely summarize the issue better. Well done! And of course, well done, Jacques, for keeping us on the narrow path to (limited) understanding.
JACQUES VALLÉE’S FINAL WARNING
After nearly seventy years spent investigating the UFO Phenomenon, Jacques Vallée appears to be stepping away from public-facing research without providing the clean conclusion so many people desperately want.
If anyone had earned the right to give us a definitive answer, it would be him. Yet his final journal reportedly names no species, confirms no singular origin, and offers no triumphant announcement that the truth has finally been revealed.
What remains is far more difficult, which is the possibility that our demand for a simple answer is itself part of the problem.
Vallée’s work has long pointed toward something larger than biological visitors arriving from another planet. The extraterrestrial hypothesis may explain metallic craft and physical occupants, but it struggles with missing time, symbolic encounters, psychic effects, religious parallels, the manipulation of consciousness, and the apparent ability of the Phenomenon to alter its presentation across cultures and historical periods.
Something that changes its form alongside human belief, while producing effects within both matter and mind, does not behave like a conventional expedition from another world.
This is why I have never been comfortable placing the entire Phenomenon inside one explanatory box. Extraterrestrial visitors may absolutely be part of the picture. But if we force every encounter into that framework, we risk discarding the very characteristics that make this mystery so profound.
Most unsettling is Vallée’s suspicion that “Disclosure” itself could become the next stage of the old cover-up.
Disclosure can occur without revelation.
A government could acknowledge that something is present while retaining control over the evidence, vocabulary, and boundaries through which the public is permitted to understand it. By reducing the Phenomenon to military incursions, sensor anomalies, and threats to national security, its relationship with consciousness, mythology, religion, and human transformation disappears from view.
The admission would be real. So would the containment.
After seven decades, Vallée’s most honest conclusion may be that premature certainty is dangerous. Naming the Phenomenon too early could reduce it to something we already understand. Once that frame becomes fixed, everything that refuses to fit can be dismissed as irrelevant.
Something real is happening. It leaves traces in matter, enters consciousness, and appears capable of influencing human belief across entire cultures. Whatever intelligence exists behind it, assuming there is only one, may not respect our distinctions between physical and psychological, technology and mythology, or even past, present, and future.
Vallée may not be leaving us without an answer. He may be leaving us with a far more difficult responsibility: resisting the comfort of one. #ufox #ufotwitter
What a wonderful invention. Where do I get one?
Catching skin cancer early is a home robotics problem.
Melanoma is highly treatable when detected early, yet today’s screening process depends heavily on patients noticing tiny changes across their entire skin surface. This requires patients to solve a near-impossible visual-memory and registration problem.
I built OpenDerm, an open-source 4-DOF robot that captures high-resolution images of the skin and uses them to reconstruct and track the skin surface in 3D over time.
The best way to make skin screening truly routine is to bring it into the home. OpenDerm shows that inexpensive robotic skin imaging is possible, but the path to scale is not a dedicated screening robot in every household—it is to make skin screening one of the many useful things a general-purpose home robot can do.
Read more about why I built OpenDerm and how it works here:
Blog: marionlepert.github.io/blog/…
Project: openderm.github.io/
Garry P. Nolan retweeted
SCI leader Crystal Mackall & others developed AIR, a molecular switch that helps #CARTcells self-regulate during activation, reducing exhaustion, boosting tumor killing, and enabling safer, more effective cell therapies. brnw.ch/21x4wH9