Lab profile
About AIMS Lab
The AIMS Lab transforms how AI is integrated with biomedicine by developing core AI/ML innovations and applying them to biomedical domains. The lab is renowned for pioneering explainable AI (XAI), including the SHAP framework, and drives transformative discoveries in computational biology and medicine using diverse biomedical data including multi-omic, single-cell, images, sequence, clinical data, and text.
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
- Transparency of medical artificial intelligence systems.Nature reviews bioengineering · 2026
- DREAM: A framework for discovering mechanisms underlying AI prediction of protected attributes.medRxiv : the preprint server for health sciences · 2025
- Auditing the inference processes of medical-image classifiers by leveraging generative AI and the expertise of physicians.Nature biomedical engineering · 2025
03 · Updates
Updates and lab news
News and events from the lab’s own site.
- Soham won the best paper runner-up award at CVPR WorkshopAwardJun 18, 2024
- Our first AIMBA (AI Meets Biology of Aging) meeting has taken placeEventMay 22, 2024
- Su-In has been awarded the Samsung Ho-Am Prize in EngineeringAwardApr 3, 2024
- Su-In has become an AIMBE FellowAwardMar 25, 2024
- Wei and Patrick will lead the inaugural AIMBA meeting (AI Meets Biology of Aging)AnnouncementMar 10, 2024
- Su-In received the Innovator Award from the International Society of Computational Biology (ISCB)AwardFeb 15, 2024
- Soham's paper got accepted to ICLR'24PublicationJan 15, 2024
- Alex's paper got published in Nature BMEPublicationDec 28, 2023
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.