1/12 Check out this paper that came out last week from our pan-monogenic project, which utilizes diverse natural single-gene defects in humans to study and assess the immune health of both patients with disease or those clinically healthy. nature.com/articles/s41591-0…

The chatter is becoming very noisy and I can’t learn as much science here compared to before. Will be off from the blue bird (or the dark X). You can find me on BlueSky bsky.app/profile/tsanglab.bs….

University websites are like distant stars, when you look at them you see the scientists as they used to be many years ago

Great…. Patriot - 1984

With our deepest gratitude to everyone who joined us on this journey. 🫶 __ Music: Cantique by Nadia Boulanger performed with @kathystott

I can also now be found on Bluesky: bsky.app/profile/tsanglab.bs…. Easier to customize feeds, no ads, and allows one to receive more specific science and technology contents.

Meanwhile, outside Trump's door..😎😂

🇨🇦 expat living in 🇺🇸. Got PhD in the 🇺🇸 and stay as I love the people and the innovative spirit of this country. Long had a green card but became a citizen after the previous president said he could kick us out. I voted today for the first time to ensure that won't happen again.

A fantastic day celebrating the 40th anniversary of the discovery of the TCR. Check out this T cell speaker photo which includes co-discoverers Tak Mak and Mark Davis. Thanks @UofT, @uoftmedicine, @ImmunologyUofT, @thePMCF for your support.

This award is very hard to respond to. I have received many hundred congratulatory notes, from former students, post-docs, Princeton University juniors and seniors, funding agencies and foundations, authors, signature collectors, amateurs, elementary school neural network followers, and on and on. An astonishing fraction of them has found their way into useful and interesting Neural Network careers by a casual interaction in class, at a meeting, hearing what I had to say about their ideas, learning from thinking about how I worked with a class, or from being my teaching assistants... There are some whom I remember well, and others for whom my reaction is “are they certain that our interaction sparked a single usable thought?” Yet they go on and comment “you changed my life” and follow on to explain that they heard me lecture when they were 15, and have been a member of the Neural Network brigade of the research army ever afterward. I cannot make detailed comments to most of my letter writers. In sum I can only say that I tremendously enjoyed the interactions that the Neural Network community provided me with; that the mutual interactions have given me much pleasure over the years; that the community interested both in brain and in artificial brain has proved a good way for science to develop even if institutions have not always been sympathetic. Often these institutions found the enthusiasm infectious, after a period of doubt. In short, we often have won--. No, perhaps all we know is that we have not yet lost. I still believe that finding mind lodged in biological matter is the most profound question that physics can pose. And that the breadth of physics is a good base from which to begin.

🚨 Great alternatives to BioRender are now available!! 📢 @NIAIDNews offers a collection of public figures and icons for everyone to use. Check it out at bioart.niaid.nih.gov

Big congratulations to Haifan! Well deserved recognition for his fundamental discoveries.

Interested to learn about Yale’s #PhD program in Computational Biology and Biomedical Informatics (CBB)? Join our virtual open house for interested applicants on Tuesday, October 22, 8–9PM ET. Register at: yalesurvey.ca1.qualtrics.com… @YaleCBB @YALEBBS

Just getting back from an amazing aurora display in a location I've always wanted to see it at, Jordan Pond in Acadia National Park. This was the first night of our photo workshop and the whole group got to experience this together! So amazing! #maine #aurora #northernlights

Outside the classroom where I teach applied complex analysis, I spotted this poster of Frank Rosenblatt. He invented the perceptron, and helped launch the study of machine learning.

A #songofcomfort for anyone who needs it.

🤣🤣

Just heard the sad news that our former @Cornell colleague Richard S. Hamilton died over the weekend.  He was 81 years old. Known for his work on Ricci flow and laying the foundations towards proving the Poincaré conjecture and Thurston’s geometrization conjecture, he was awarded the Veblen Prize, a Clay Research Award, and the Steele Prize for Seminal Contribution to Research, and was elected to the National Academy of Sciences.  He provided an autobiography in 2011 when he was jointly awarded the Shaw Prize. shawprize.org/autobiography/…

Scotland has detected no cases of cervical cancer in women born between 1988-1996 who were fully vaccinated against HPV between the ages of 12 and 13. statnews.com/2024/01/25/hpv-…

Excited to share TxGNN, a model that identifies potential therapies from existing medicines for thousands of diseases. Trained across 17,080 diseases, TxGNN predicts drug candidates for conditions with limited or no treatment options, including rare diseases @NatureMedicine paper: nature.com/articles/s41591-0… Globally, there are over 7,000 rare and undiagnosed diseases, yet only 5 to 7 percent have treatments, leaving the majority untreated or undertreated. Even for more common diseases, new drugs could offer alternatives with fewer side effects or replace drugs that are ineffective for certain patients TxGNN generates new insights on its own in the form of multi-hop interpretable rationales, applies them to diseases it was not trained for, and offers explanations for its predictions Human evaluation showed that TxGNN's predictions perform well across multiple axes of performance Many of TxGNN's predictions align with off-label prescriptions used in a large healthcare system Many thanks to a fantastic research team @KexinHuang5 @payal_chandak @WangQianwenToo @_toolazyto_ @AkhilVaidMD @jure @girish_nadkarni @BenGlicksberg @HarvardDBMI @harvardmed @KempnerInst @harvard_data @broadinstitute @cziscience @harvardmed News and Gazette: hms.harvard.edu/news/researc… Thanks @EkaterinaPeshev

TCR repertoire dream: decoding immune status by sequencing TCRs. Problems: 1) Need paired TCRab chains 2) Interesting T cell clones are often VERY small. Our solution: TIRTL-seq 🐢Deep, quantitative, & affordable paired TCR repertoire sequencing. 🧵 biorxiv.org/content/10.1101/… (1/11)