Lab profile
About SRTI
The program harnesses artificial intelligence to advance biomedical research and medicine by analyzing digital, clinical and genomic data at scale. It focuses on enabling earlier disease prediction, personalized treatment pathways, accelerated public health insights, and designing AI algorithms that transform wearable sensor data into meaningful health insights for individuals and care teams.
01 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
02 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- Development and external validation of a contrastive learning foundation model for ECG-based prediction of cardiovascular diseases and outcomes.The Lancet. Digital health · 2026
- Multimodal AI correlates of glucose spikes in people with normal glucose regulation, pre-diabetes and type 2 diabetes.Nature medicine · 2025
- Using the PowerMom Digital Health Platform to Support Prenatal Mental Health and Maternal Health Outcomes: Observational Cohort Study.JMIR mental health · 2025
Active NIH grants
No active NIH grants; 1 earlier grant linked to this lab’s researchers.
All 1 →03 · Updates
Updates and lab news
News and events from the lab’s own site.
- High performance medicineOther
- Eric Topol pens book on artificial intelligence in medicineNews
- The promise of artificial intelligence for healthcarePublication
- Bringing 'deep learning' to the clinic: scientists overcome key barrier to widespread adoptionNews
- New AI-powered algorithm could better assess people's risk of common heart conditionNews
- New AI tool simplifies heart monitoring: Fewer leads, same accuracyNews
- AI model detects hidden diabetes risk by reading glucose spikesNews
- New AI algorithm could improve detection and prediction of heart diseasesNews
04 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
05 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.