Division of Computational Pathology
Advanced computation applied to understanding, diagnosis and treatment of human disease
The Division in the BWH Department of Pathology focuses on research in areas of excellence leveraging unique strengths of the Department, including pathology imaging and the microbiome, with plans to add other foci soon.
Sept 2020: Mahmood Lab paper
“Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis” in IEEE Transactions on Medical Imaging.
Sept 2020: Mahmood Lab award
“Interpretable Deep Learning Algorithms for Pathology Imaging Analysis” MIRA/R35 NIH/NIGMS Outstanding Investigator Award
Sept 2020: Gerber Lab award
“MTM 2: The rules of microbiota colonization of the mammalian gut.” The Gerber lab in collaboration with the Wang lab at Columbia have received a $2.9M grant from the National Science Foundation to develop and apply novel computational and experimental methods to elucidate fundamental rules governing the formation and maintenance of complex microbial ecosystems in the mammalian gut.
July 2020: Gerber Lab papers
“High-resolution temporal profiling of the human gut microbiome reveals consistent and cascading alterations in response to dietary glycans” in Genome Biology
“Scalable learning of interpretable rules for the dynamic microbiome domain” chosen for Spotlight Oral at ICML 2020 Workshop
June 2020: Mahmood Lab preprint
“Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary”