Chromatin, heart disease, and other stuff see thomasvondriska dot sub stack dot com

Los Angeles
America doesn't exist on the internet thomasvondriska.substack.com…
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HEAT (1995) - FRAME 2356
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“When you think there’s no hope left, remember the lobsters in the tank at the Titanic’s restaurant.”
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We're searching for an assistant/associate professor in Bioengineering at Stanford! If you're using cutting-edge engineering approaches to understand or control biological systems in useful ways (medical, environmental, etc), we'd love to hear from you! facultypositions.stanford.ed…
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We are excited to announce a new faculty position in AI for Biology at UC Berkeley, jointly between @Berkeley_EECS and @CCBBerkeley. Please repost & share this opportunity with outstanding early-career researchers in your networks. Apply by Nov 9, 2026: aprecruit.berkeley.edu/JPF05…
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🧬 Highly related @NatureGenet paper from @binzmit group, using nucleosome-resolution chromatin modeling: Euchromatin forms condensed domains with short active regions on the surface nature.com/articles/s41588-0… Congratulations! 🎉
Is euchromatin really “open”? 🧬 Using super-resolution imaging🔬 our new study @NatureGenet reveals: Euchromatin forms condensed domains in live cells. Cohesin constrains them and prevents domain mixing for proper transcriptional insulation🚧 🔗nature.com/articles/s41588-0… (1/2)
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Tenure-Track Professor in Life Science and AI mcb.harvard.edu/department/n… @VMurthyLab
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Today is National Public Lands Day, a celebration of the wide-open spaces, wild places and unforgettable landscapes that belong to all of us. Get outside. America is waiting. Photo at @YosemiteNPS by Frank Lahman
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Pizza Sells... But Who's Buying Grab a slice or full pie of Vic’s Pepperoni and join Prince St. Rewards for a chance to take home a signed collab box with a Megadeth tee inside. Available through Sept. 27. LA locations only. This one’s for the fans. 🔥
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Our department at UCLA is hiring!
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Semi is here Today, we're launching high volume production
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Potential solution: limit labs to one paper per year (max 100 pages), eliminate journals, post on bioRxiv or comparable site
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Today, we’re launching an ambitious new school called The Horowitz Andreessen Academy. Based in San Francisco, The Academy serves the most promising young high school graduates. We think this can be an elite institution that attracts top tier talent. One that prepares students for the future rather than remaining stuck in the past. The #1 goal is to help students learn to build, which is the most important skill in the AI era. They'll learn primarily by pursuing their own projects, either individually or in groups. There are classes and guest lectures, too, from some truly amazing people who have built modern-day Silicon Valley. The Academy is designed as a network, since that’s the reason students go to school in the first place. Core to that network are our 10 Founding Partners: Anduril, Anthropic, Coinbase, Google, Meta, NVIDIA, OpenAI, Palantir, Replit, and Stripe. The network includes over 50 hiring partners and over 200 speakers and mentors. To join as a hiring partner or faculty member, you can apply on our website. We raised $42M in funding led by @a16z. I'll be CEO and @pmarca and @eriktorenberg will join me on the board. Applications are open for our Founding Class Fellowship, which will be one year and tuition-free. Eventually, pending regulatory approval, we plan to offer a two-year program that charges tuition, similar in cost to an elite private university. We're looking for the most unusually ambitious young builders on the planet. Come join us in San Francisco: theacademysf.com/
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Excited to present about our efforts in #CardioImmunology & #myocarditis at UCSF. @AHAScience @BCVSearlyCareer @UCSFCardiology Can we learn to use Precision-TCR-Guided immunotherapy 2 treat inflammatory heart disease?
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Come be my colleague! My department (Biological Sciences at Georgia Tech) is hiring a tenure-track professor in the area of Computational Genetics. See more info and view the job posting here: tinyurl.com/5fxwcds3
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Tom Vondriska retweeted
📣📣 Looking for new faculty @GladstoneInst @UCSF Genomic Immunology: aprecruit.ucsf.edu/JPF05958 We are broadly interested in immunotherapy - discovery, design, engineering, and translation, across the full spectrum of modalities and disease indications.
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Join the NIH Stadtman Tenure-Track Investigator Program and build your independent research program in a collaborative environment where early-career scientists can think boldly, work across disciplines & tackle biomedical science’s biggest challenges. “What attracted me most to the Stadtman Program was the ability to develop and lead my own independent research program and to do that in a sustained and intentional way, making use of the research environment and trying to make use of the collaborations that are possible here.” - Dr. Tiarnán Keenan, Stadtman Investigator at the National Eye Institute. 🔗 Learn more and apply by 9/30/26: bit.ly/3V1XNcA
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The natural apotheosis of this argument is a hospital devoid of doctors, run by administrators and accountants behind computers watching the clankers provide care. This is not a criticism of the authors of this piece, or anyone else interested in such things—people should study whatever they like. Leaders of academic medical centers, however, have a choice to make about how they evaluate the efficacy of AI. And that choice will have a tectonic impact on the future of medicine. No doctor I know told me they went into medicine to remove humans from patient care. But the purpose of a system is what it does. If the firepower behind AI removes humans from medicine and biomedical research, that was its purpose. Incidentally, humans are the biggest liability in delivering care. How much would malpractice insurance for a computer cost a health system? Someone is doing this calculation. How will a generation of scientists be inspired to pursue research or doctors be inspired to complete medical training? The answer is not by having a computer do the most interesting parts. I am not a Luddite and believe that AI can enable human doctors and scientists to accomplish remarkable new things. But only if the humans judge outcomes accordingly. Someone is going to image an EHR and let superintelligent agents run wild on it—the ‘CRISPR baby’ moment for AI. In the meantime, the first objective for AI in an academic medical center should be quite pedestrian: reduce administrative burden on faculty and students by transferring these tasks to computers, not to more administrators. This is not a zero-sum proposition: jazzier research into transforming healthcare with AI should of course continue in parallel. Electronic health records and ICD codes were created for billing but are being repurposed for a great revolution in computational medicine. Rather than finding ways to remove doctors and scientists from the process, academic medical centers should direct AI implementation towards: (1) replacement of any faculty activities not related to teaching, research and medical care and (2) a reduction (say, by 90%) in the personnel who are neither faculty nor providers (i.e. doctors, nurses, and other trained healthcare professionals). If these goals are achieved, we may conclude that the use of AI in the administration of academic medical centers has served its purpose. @ZekeEmanuel @JAMA_current @JAMANetwork
AI alone will provide better medical care than physicians, or even physicians working with AI. AI will likely be ready to be deployed for real-world cognitive medical tasks in some, maybe many, workflows by 2030. Now is the time for leadership to develop workflows and regulation. Read more in @JAMA_current with @vkhosla, @nealkhosla, and @AbeBakerButler. jamanetwork.com/journals/jam…
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