The Lotter Lab performs interdisciplinary research with two core aims: 1) developing more robust computer vision algorithms using insights from human vision, and 2) optimizing these algorithms for medical imaging to deliver real-world impact. We aim to...
Pranav Rajpurkar is driven by a fundamental passion for building reliable artificial intelligence (AI) technologies for biomedical decision making. His lab approaches biomedical problems with a computational lens, developing AI algorithms, datasets, and...
Using a combination of computational and experimental approaches we study the processes that determine whether mammalian cells live or die. Our lab is particularly interested in apoptosis triggered by extracellular ligands such as TRAIL, Fas and TNF and...
The Mahmood Lab at the Brigham and Women's Hospital aims to utilize machine learning, data fusion and medical image analysis to develop streamlined workflows for cancer diagnosis, prognosis and biomarker discovery. We are interested in developing...
The Hacohen lab consists of immunologists, geneticists, biochemists, technologists, physicians and computational biologists working together to develop new and unbiased technologies and strategies to understand basic immune processes and immune-mediated...
