Boston University · AI & human health
Multimodal AI for neurodegenerative disease and human health
We are computer scientists, neuroscientists, engineers and physicians building methods that fit the science, not science that fits the methods. Our models diagnose dementia, estimate disease biomarkers and interpret medical images, and we release them openly.
What we work on
Four open challenges in neurodegeneration, and how we are working through each one.
Multimodal AI for neurodegeneration
Real patients never have every test, and the biology that matters most is often hidden. We build AI that combines whatever data is available to reveal which diseases are present, how far they have spread, and whether someone is already declining.
Learn moreAI for digital microscopy
Microscopes now produce images with billions of pixels, from tissue slides to electron micrographs. We build AI that finds what matters in them and links it to disease and outcomes.
Learn moreFrom predictions to decisions
A diagnosis is a series of choices: which test to order, who to refer, who to enroll in a trial. We build AI that helps make those choices, with clinicians in charge.
Learn moreDomain-specific language and vision-language models
General-purpose chatbots can sound right and still be wrong. We build language and vision-language models that know neurology, read images and text together, and show their evidence.
Learn moreFeatured papers
Recent highlights. Code for most of our papers is on GitHub.
FourierMIL: Fourier filtering-based multiple instance learning for whole slide image analysis
AI-driven fusion of multimodal data for Alzheimer’s disease biomarker assessment
Active feature acquisition via explainability-driven ranking
AI-based differential diagnosis of dementia etiologies on multimodal data
Latest news
All news- May 2026 Milestone Chonghua Xue successfully defends his PhD in Electrical and Computer Engineering and transitions to a postdoc role.
- May 2026 Grant We got selected as a Discovery team (Stage 1) of the Longitude Prize on ALS.
- March 2026 Milestone Diala Lteif successfully defends her PhD in Computer Science and transitions to a postdoc role.
- March 2026 Milestone Olivia Zhou got matched to Orthopedic Surgery at Stony Brook Medicine.
- March 2026 Grant We received seed funding from the Dementia Frontiers Fund to build a scalable multimodal AI system for early detection and staging of cognitive impairment.
- March 2026 Grant We received an R03 grant from the National Institute on Deafness and Other Communication Disorders.
- February 2026 Paper Agentic AI for medical question-answering tasks, published in the International Journal of Medical Informatics.
Build the next generation of medical AI with us
We form small teams with complementary expertise in computer science, mathematics, neuroscience and medicine, and work persistently on comprehensive solutions. PhD, MD and MD-PhD trainees, and postdocs, are welcome.