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Biomedical datasets are often confined to specific domains, missing valuable insights from adjacent fields. To bridge this gap, we present BIOMEDICA: an open-source framework to extract and serialize PMC-OA. 📄Paper: lnkd.in/dUUgA6rR 🌐Website: lnkd.in/dnqZZW4M

Hearty congratulations to Chelsea Finn, Dorsa Sadigh and Sanmi Koyejo for all winning a Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor of the U.S. government for outstanding early career scientists and engineers. whitehouse.gov/ostp/news-upda…

🎉 Excited to share that our latest research, 𝘛𝘪𝘮𝘦-𝘵𝘰-𝘌𝘷𝘦𝘯𝘵 𝘗𝘳𝘦𝘵𝘳𝘢𝘪𝘯𝘪𝘯𝘨 𝘧𝘰𝘳 3𝘋 𝘔𝘦𝘥𝘪𝘤𝘢𝘭 𝘐𝘮𝘢𝘨𝘪𝘯𝘨, has been accepted at 𝗜𝗖𝗟𝗥 2025! 🚀 🔍 𝗜𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗲 𝗣𝗿𝗲𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗧𝗶𝗺𝗲-𝘁𝗼-𝗘𝘃𝗲𝗻𝘁

Super exciting release, and great work from Jason and team. Check out this dataset if you are interested in evaluating how models ACTUALLY perform in real world clinical settings.

Had a great time working with this team and excited to continue evaluating models for their clinical capabilities!

We build 𝗠𝗲𝗱𝗛𝗘𝗟𝗠✨: a comprehensive benchmark evaluating AI on realistic clinical tasks that healthcare professionals perform daily instead of just medical exams.👩‍⚕️⚕️ • Stanford HAI Blog: hai.stanford.edu/news/holistic-… • Leaderboard: crfm.stanford.edu/helm/medhelm/l…

🚨Large video-language models LLaVA-Video can do single-video tasks. But can they compare videos? Imagine you’re learning a sports skill like kicking: can an AI tell how your kick differs from an expert video? 🚀 Introducing "Video Action Differencing" (VidDiff), ICLR 2025 🧵

An LLM generates an article verbatim—did it “train on” the article? It’s complicated: under n-gram definitions of train-set inclusion, LLMs can complete “unseen” texts—both after data deletion and adding “gibberish” data. Our results impact unlearning, MIAs & data transparency🧵

There’s growing excitement around VLMs and their potential to transform surgery🏥—but where exactly are we on the path to AI-assisted surgical procedures? In our latest work, we systematically evaluated leading VLMs across major surgical tasks where AI is gaining traction..🧵

🚨🚨New Working Paper🚨🚨 AI-generated content is getting more politically persuasive. But does labeling it as AI-generated change its impact?🤔 Our research says the disclosure of AI authorship has little to no effect on the persuasiveness of AI-generated content. 🧵1/6

🎉 Excited to present our #ICLR2025 work—leveraging future medical outcomes to improve pretraining for prognostic vision models. 🖼️ "Time-to-Event Pretraining for 3D Medical Imaging" 👉 Hall 3+2B #23 📍 Sat 26 Apr, 10 AM–12:30 PM 🔗 iclr.cc/virtual/2025/p…

Excited to present this work at ICLR's SynthData Workshop on Sunday April 27! Come through from 11:30-12:30 @ Peridot 202-203 to talk anything synthetic data for post-training, benchmarking, and AI for healthcare in general.

I defended my PhD from Stanford CS Stanford NLP Group 🌲 w/ Stanford CS first all-female committee!! My dissertation focused on AI methods, evaluations & interventions to improve Education. So much gratitude for the support & love - and SO excited for the next chapter!!!! 🥳