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 incomplete data
Real patients never have every test. We build AI that combines whatever is available, from scans and cognitive tests to history and speech, and stays reliable when pieces are missing.
Learn moreQuantifying complex pathology
Some of the most important signals are invisible in a routine visit: hidden pathology, early decline, which disease is driving symptoms. We estimate them from accessible data and check them against the reference standard.
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.
- 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 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.
- January 2026 Update Ketan Saichandran transitions from a staff scientist role and joins dCortex as a Research Scientist.
- December 2025 Paper Fourier filtering-based multiple instance learning, published in the International Journal of Computer Vision.
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.