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.
New grant! We received a Pilot Award from the Artificial Intelligence and Technology Collaboratories (AITC) for Aging Research program (National Institute on Aging).August 2022
New award! Lindsey Claus wins the 2022 American Society of Nephrology Kidney STARS award.July 2022
Michael Romano completes postdoctoral research and starts radiology residency at University of California, San Francisco.June 2022
New paper! Multimodal deep learning for dementia assessment, published in Nature Communications.June 2022
New award! Lindsey Claus recognized by International Association of Medical Science Educators.June 2022
Shangran Qiu defends his PhD and joins Microsoft Inc. as an Applied Scientist.May 2022
New paper! Graph-transformer for digital pathology, published in IEEE Transactions on Medical Imaging.May 2022
New award! Yi Zheng wins 2022 Department of Computer Science Research Excellence Award.May 2022
New paper! Machine learning for pre-med trainees, published in Artificial Intelligence in Medicine.