Lab profile
About AI2D
AI2D brings together faculty, trainees and staff working in AI and Biomedical Data Science as it applies to Integrated Diagnostics - the synthesis of diverse and complementary types of biomarkers contributing to precision diagnostics. The center focuses on multi-omic data science, understanding disease heterogeneity, and developing AI methodologies for big data in clinical diagnostics.
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
- AI in Neuro-Oncology: An Overarching Review.Neuro-oncology · 2026
- Publisher Correction: Sleep chart of biological ageing clocks in middle and late life.Nature · 2026
- Integration of neuroimaging signatures of aging and Alzheimer's with fluid biomarkers.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
Active NIH grants
- Statistical Methods for Integrating Irregularly Collected Longitudinal Multi-Modal data into Prediction ModelsJeffrey S. Morris · NLM · FY 2026
- Interpretable Deep Learning for Analyzing Brain Development Heterogeneity with Personalized Functional Networks Across Multi-Site DataYong Fan · NIBIB · FY 2026
- Improving sepsis care with AI-based clinical decision supportGary Weissman · NIGMS · FY 2026
Clinical-trial records
- Evaluating Artificial Intelligence-Based Clinical Decision Support for Sepsis and ARDSNCT07025096 · Completed
03 · Updates
Updates and lab news
News and events from the lab’s own site.
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.