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Our mission is to create methods to fit the science and not make science fit the methods.
Specifically, we are interested in the following questions that have clinical relevance:
We are also interested in the following frameworks that have computational relevance:
We form small teams comprising individuals with complementary expertise and work persistently to build comprehensive solutions.
Important: If you are interested in joining us, then we encourage you to contact an active lab member (click on Team) and talk about your interests.
We are grateful for funding from the American Heart Association, the National Institute on Aging, the National Heart, Lung, and Blood Institute, the National Cancer Institute, the Artificial Intelligence and Technology Collaboratories (AITC) for Aging Research program, and the National Institute of Diabetes and Digestive and Kidney Diseases. We also thank the Karen Toffler Charitable Trust, Johnson & Johnson Enterprise Innovation Inc., and Visterra Inc., for funding our work.
– Machine learning (MS650)
New paper! Graph attention-based fusion for digital pathology, published in IEEE Transactions on Medical Imaging.
April 2024New paper! Graph perceiver network for digital pathology, published in the American Journal of Pathology.
March 2024Lindsey Claus got matched to Vascular Surgery at the University of Pennsylvania.
March 2024Divya Veerapaneni got matched to Neurology at the UT Southwestern Medical Center.
February 2024New paper! Survival analysis on subchondral bone length for total knee replacement, published in Skeletal Radiology.
January 2024New papers! The Journal of the American Heart Association's special issue on digital health showcases multiple papers from our team.
October 2023New paper! Fusion of low-level voice descriptors for dementia, published in the Journal of Alzheimer's Disease.
October 2023New paper! Large language models in neurology, published in Neurology.
September 2023New grant! We received an Ignition Award from Boston University to create an AI-based tool for dementia assessment.