🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

New research paper alert! 🚨 I've combined economics with ideas from biochemists and medical doctors to explore what's driving obesity and other metabolic diseases. The main finding? Vegetable seed oils seem to play a big role. 🌱🛢️ (1/25) tyleransom.github.io/research/obesi…

📢 I’m recruiting PhD students for Fall'25 in UC Berkeley EECS or UC Joint Computational Precision Health Program! Please apply if you have related interests in AI for social good / networks / public health / social science See my website for more on my research and how to apply: serinachang5.github.io Please RT!

Please retweet: I am recruiting PhD students at Berkeley! Please apply to UC Berkeley EECS or UC Joint Computational Precision Health Program if you are interested in ML applied to health, inequality, or social science, and mention my name in your app. More details on work/how to apply: cs.cornell.edu/~emmapierson/

📢 Please retweet: We're recruiting PhD students at UC Berkeley and UCSF! Please apply if you are interests in machine learning for healthcare, statistics, causal inference, or medical vision-language models. For more details, check  out this link: forms.gle/9fbEw48Wqopdfe…

(reshare) I'm recruiting PhD students Allen School UW NLP (bdata.uw.edu). Focus areas incl Human-AI collaboration, language agents, LLM safety & applications to mental health, social sciences, education. Apply here: cs.washington.edu/academics/phd/… UW Data Science @UW_iSchool HCI & Design at UW

This is a shocking read—every time you think it can’t get worse, it does. Huge thanks to the authors for exposing this, and for the reminder to ***choose the right prediction target*** (Or in this case, choose to do good causal inference instead of bad prediction)

Great to host Ziad Obermeyer the 2024 Innovator in Diagnosis Winner from the Center I lead here at University of Maryland School of Medicine medschool.umaryland.edu/cid/ Talk on optimizing risk prediction & testing for heart attacks / better analysis of EKGs to predict sudden cardiac death.👇 youtube.com/watch?v=ytpeuq…

Interested in using LLMs to automate writing clinical notes? Remember stories like this, which happen all the time. Writing = thinking. LLMs can and do help us think, but not if they are implemented thoughtlessly.

I'm recruiting PhD students for Fall 2025! CS PhD Deadline: Dec. 15th. I work on safe/reliable ML and causal inference, motivated by healthcare applications. Beyond myself, Johns Hopkins has a rich community of folks doing similar work! Come join us!

Recently accepted by #QJE, “A Cognitive View of Policing,” by Dube, MacArthur (Sandy Jo), and Shah: doi.org/10.1093/qje/qj…

how come nobody is talking about how much shittier eng on-calls are thanks to blind integrations of AI-generated code? LLMs are great coders but horrible engineers. no, the solution is not “prompt the LLM to write more documentation and tests” (cont.)

Our new Harvard/Stanford study out today in Nature Medicine! Our results show language models, while strong at medical exams, stumble when they need to gather patient information through natural conversation - a key finding as healthcare explores AI integration. How to solve?

Happy 2025! Join us this Friday (Jan. 10) for a fireside chat, “AI for Medical Diagnosis and Prognosis: Reflections and Vision for 2025,” hosted by Hopkins Business of Health Initiative as part of our Conversations on the Business of Health Webinar Series. We’ll be joined by Dr. Ziad Obermeyer, Blue Cross of

We all love sharing things that show how great our companies are are. Im clearly doing that here with LookDeep Health But if you look into the release (in comment) and the pursuit of the first peer reviewed paper on Vision AI in Smart Hospitals (by a company), you will see the

Start the New Year with a new video! This week on CPH YouTube--Dandelion Health's Kiko Wemmer and Luke Sagers on a new source of medical data sets for AI research. Dandelion Health Luke Sagers Ahmed Alaa Jon Kolstad Ziad Obermeyer Full video here: buff.ly/402m1SI

Our article on using LLMs to improve health equity is out in NEJM AI! 85% of equity-related LLM papers focus on *harms*. But equally vital are the equity-related *opportunities* LLMs create: detecting bias, extracting structured data, and improving access to health info.

R/Medicine 2025 Keynote: Reinventing medicine with AI - Ziad Obermeyer, UC Berkeley - AI as a powerful engine for generating novel empirical observations in real-world data Early bird pricing still available! Register now! rconsortium.github.io/RMedicine_webs… #rstats #opensource Ziad Obermeyer

AI is accelerating science! Foundry is gathering AI4S leaders from - academia (Mohammed AlQuraishi, IAIFI) - gov (Patrick Shafto, Berkeley Lab) - industry (Vinod Khosla, William Fedus, Natalia Vassilieva) - non-profits (Joanne Peng, Ziad Obermeyer) Join us May 16, SF - link below

Big launch today from our lab at Harvard: 𝐑𝐞𝐗𝐕𝐐𝐀 – a large-scale, high quality question answering benchmark for chest X-rays. This represents a challenge for existing large frontier models, but one we believe will serve as a good progress measure for next gen models.