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 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...
Our lab is interested in studying the mechanisms of spatio-temporal tumor evolution, progression and therapy response. Our current research focuses on scalable inference methods and modeling of single-cell genomic and in situ imaging data to study the co...
We are trying to understand how circulating cells manage to leave the blood stream and home to distinct organs or tissues where they may have crucial physiologic functions or may cause disease. Despite considerable progress in this field, it is still...
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...
Arjun Manrai directs a research lab of machine learning scientists, clinicians, and biomedical data scientists working to improve medical decision making using computation. His group develops quantitative approaches to support physicians in making...
I am principal investigator of the Korsunsky lab at Brigham and Women’s Hospital. I completed my PhD with Dr. Bud Mishra at NYU’s Courant Institute of Mathematical Sciences. I started my postdoctoral training in rheumatology with Dr. Peter Gregersen at...
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 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...
