Exciting news for the Health Intelligence Lab at UCLA: 3/3 papers accepted to #ICML (1 as Spotlight) 🎉 𝗦𝗹𝗲𝗲𝗽𝗟𝗠: 𝗡𝗮𝘁𝘂𝗿𝗮𝗹-𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗛𝘂𝗺𝗮𝗻 𝗦𝗹𝗲𝗲𝗽 (spotlight) 𝗢𝗦𝗙: 𝗢𝗻 𝗣𝗿𝗲-𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗼𝗳 𝗦𝗹𝗲𝗲𝗽 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀 𝗛𝗘𝗔𝗥𝗧𝗦: 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝗶𝗻𝗴 𝗟𝗟𝗠 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗼𝗻 𝗛𝗲𝗮𝗹𝘁𝗵 𝗧𝗶𝗺𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 👇

Meet OSF — a fully open benchmark and state-of-the-art sleep foundation models. 🌙 We study pre-training and scaling recipes that actually improve generalization in real-world settings. 🏥 🌐 Website: yang-ai-lab.github.io/osf/ 💻 Code: github.com/yang-ai-lab/... 🤗 Models: hf.co/yang-ai-lab/...

Can LLMs really reason over health time series? 📈 Introducing HEARTS ❤️— the first living benchmark built for health time-series reasoning. 🌐Website: yang-ai-lab.github.io/HEARTS 🕵️Code: github.com/yang-ai-lab/... 🤗Dataset: hf.co/datasets/yan... 🏆Leaderboard: yang-ai-lab.github.io/HEARTS/leade...

🌙 What if your sleep signals could speak? Introducing SleepLM — sleep-language foundation models that turns raw sleep into something we can describe, query, and localize with language. 🗣️ 🌐Website: yang-ai-lab.github.io/SleepLM 🕵️Code: github.com/yang-ai-lab/... 🤗Models: hf.co/yang-ai-lab/... 🧵👇

📢 My lab at UCLA is hiring PhD students and postdocs! Please apply to UCLA CS or CompMed and mention my name if you are interested in foundation models and (Gen)AI for health / medicine / science. More info: cs.ucla.edu/~yuzhe

🚨 Let your wearable data "speak" for themselves! ⌚️🗣️ Introducing *SensorLM*, a family of sensor-language foundation models, trained on ~60 million hours of data from >103K people, enabling robust wearable sensor data understanding with natural language. 🧵

🩻⚖️ AI underdiagnoses Black female patients A new study found that expert-level vision-language models for chest X-rays systematically underdiagnose marginalised groups – especially Black women – more than radiologists. 🔗 doi.org/10.1126/sciadv.adq0305 #SciComm #AI #HealthEquity 🧪

Do foundation models in medical imaging see everyone fairly?🤔 Excited to share our new Science Advances paper uncovering & auditing demographic biases of expert-level VLMs, and comparing to board-certified radiologists🧑‍⚕️ 📄science.org/doi/10.1126/sciadv.adq0305 💻github.com/YyzHarry/vlm-fairness (1/)

How multimodal A.I. of real time smartwatch data can automatically detect a person's loss of pulse—sudden cardiac death—and notify emergency services www.nature.com/articles/s41... @jakesunshine.bsky.social @nature.com

Just published in Nature Biomedical Engineering! Working with the incredible PhD student Wei Qiu and our brilliant collaborator Kamila Naxerova at Harvard was a great pleasure. Our deep profiling framework enables us to view 18 human cancers through the lens of AI! www.nature.com/articles/s41...

A neurologist with 2 APOE4 copies tells us about his experience with #Alzheimers disease washingtonpost.com/wellness/202...

Seven years ago, Scott Lundberg, presented our SHAP framework at the NeurIPS 2017 conference. Since then, SHAP has become one of the most widely used feature attribution methods, with our paper receiving approximately 30,000 citations. It's wonderful that SHAP's birthday aligns perfectly with mine!😊

I will be at #NeurIPS and #ML4H all next week — let me know if you would like to catch up in person! 📢 I am also recruiting PhD students! Drop me an email if you're attending NeurIPS and would like to chat or learn more 😀

Here is a #compbio starter kit! go.bsky.app/QVPoZXp To all the #Bioinformatics #Genomics #MachineLearning folks: please RP and let’s build this together!

⌚️ Check out our latest work on scaling foundation models for large-scale multimodal wearable sensor data!

Hello world! I’m recruiting ~3 PhD students for Fall 2025 at UCLA 🚀 Please apply to UCLA CS or CompMed if you are interested in ML and (Gen)AI for healthcare / medicine / science. See my website for more on my research & how to apply: people.csail.mit.edu/yuzhe