Health Intelligence Lab
Towards multisensory AI for personal health, medicine, and scientific discovery.
The Health Intelligence Lab (HAIL) at UCLA, led by Dr. Yuzhe Yang, builds AI systems that sense health, advance medicine, accelerate discovery, and turn multisensory data into accessible and actionable intelligence for patients, clinicians, consumers, and scientists.
- 🧬 AI for Medicine and Science: accelerating scientific discovery for human health, disease, and science.
- ⚕️ Multisensory Foundation Models: building multimodal foundation and language models for scalable health intelligence.
- 🌐 Personal Health Intelligence: making health insights universal, accessible, personalized, and equitable.
- 🤝 Human-AI Ecosystems: developing personal agents and collaborative AI systems that make advanced intelligence beneficial for humans.
- 🛡️ Trustworthy and Deployable AI: improving robustness, fairness, interpretability, and real-world generalization in high-stakes settings.
News
- May 2026 Three papers accepted to ICML 2026: SleepLM (Spotlight), OSF, and HEARTS. Congrats to Zongzhe, Zitao, Sirui, Shuhan, Mihir, Eideen, David, and all collaborators.
- Apr 2026 Dr. Yang gave talks at Novo Nordisk, Johnson & Johnson, the University of Oxford, and the University of Cambridge.
- Mar 2026 Insulin resistance prediction from wearables published in Nature.
- Mar 2026 Dr. Yang gave keynotes and joined panels at the Ametris Digital Data Summit and UCLA DSB Symposium.
- Feb 2026 Our lab is grateful to receive research support from Anthropic, OpenAI, Google, and UCLA DataX.
- Nov 2025 Our lab won the 2025 Sleep Medicine Disruptors Innovation Award.
- Oct 2025 Our lab is grateful to receive research support from Amazon and NSF NAIRR.
- Sep 2025 Dr. Yang gave talks at the UCLA Frontiers in Medical Informatics Seminar, CGSI 2025, and Google AI for Science.
- Aug 2025 SensorLM and RADAR accepted at NeurIPS 2025.
- Jul 2025 Dr. Yang's PhD thesis receives the AMIA Shortliffe Dissertation Award Honorable Mention.
- May 2025 Raptor accepted at ICML 2025 as a Spotlight.
- Mar 2025 Paper on medical vision-language model fairness published in Science Advances.
Highlights
SleepLM: Sleep-Language Models for Human Sleep Intelligence
ICML 2026 Spotlight
AI Biomarkers of Parkinson's Disease from Nocturnal Breathing
Nature Medicine 2022
HEARTS: LLM Reasoning over Health Time Series
ICML 2026
Insulin Resistance Prediction from Everyday Wearables
Nature 2026
SensorLM: Learning the Language of Wearable Sensors
NeurIPS 2025
The Limits of Fair Medical Imaging AI in Real-World Generalization
Nature Medicine 2024