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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. If you are interested in joining us, then we encourage you to contact an active lab member 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 grant! We received an Ignition Award from Boston University to create an AI-based tool for dementia assessment.
April 2023Tejus Surendran transitions from a staff scientist in our lab to a PhD student at Carnegie Mellon University.
March 2023Matthew Miller got matched to MGH Radiology.
March 2023Akshara Balachandra got matched to Stanford Neurology.
March 2023Joyce Lee got matched to BMC Neurology.
December 2022New grant! We received a Pilot Award from the Artificial Intelligence and Technology Collaboratories (AITC) for Aging Research program (National Institute on Aging).
September 2022New grant! We received an SBIR Phase-I grant from the National Institute of Diabetes and Digestive Kidney Diseases.
August 2022New award! Lindsey Claus wins the 2022 American Society of Nephrology Kidney STARS award.
July 2022Michael Romano completes postdoctoral research and starts radiology residency at University of California, San Francisco.