illustration of DNA strand and abstract shapes on a computer screen on a green gradient background

Medical, health, and genomics

Digital pathology helps decode tumor microenvironments for precision immunotherapy. GigaPath is a novel vision transformer that can scale to gigapixel whole-slide images by adapting dilated attention for digital pathology. In joint work with Providence and UW, we’re sharing Prov-GigaPath, the first whole-slide pathology foundation model pretrained on large-scale real-world data, for advancing clinical research and discovery.

GigaPath: Whole-Slide Foundation Model for Digital Pathology

Research Forum Ep2 | Panel | Transforming the Natural Sciences with AI

Research Forum 2 | Panel Discussion: Transforming the Natural Sciences with AI

white icons of first aid kit, DNA strand, laptop monitor with overlapping eye, and microscope on a blue and green gradient background

Scaling early detection of esophageal cancer with AI

female doctor / nurse reviewing a tablet

Microsoft Health Futures

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Publication

Diagnosis and Tracking of Past SARS-CoV-2 Infection in a Large Study of Vo’, Italy Through T-Cell Receptor Sequencing

Rachel M Gittelman, Enrico Lavezzo, Thomas M Snyder, H Jabran Zahid, Rebecca Elyanow, Sudeb Dalai, Ilan Kirsch, Lance Baldo, Laura Manuto, Elisa Franchin, Claudia Del Vecchio, Fabio Simeoni, Jessica Bordini, Nicola I LorÃ, Dejan Lazarevic, Daniela M Cirillo, Paolo Ghia, Stefano Toppo, Jonathan M. Carlson, Harlan S Robins, Giovanni Tonon, Andrea Crisanti

medRxiv | November 2020

Updated February 11, 2021

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Group

Biomedical ML

Microsoft Research New England’s Biomedical ML Group thrives at the intersection of machine learning and biology and healthcare. Our interests include ML techniques in healthcare, generative models of proteins and chemical reactions, computational immunology, ML…

Publication

Impaired ability of Nef to counteract SERINC5 is associated with reduced plasma viremia in HIV-infected individuals.

Mako Toyoda, Doreen Kamori, Toong Seng Tan, Kageaki Goebuchi, Jun Ohashi, Jonathan M. Carlson, Ai Kawana-Tachikawa, Hiroyuki Gatanaga, Shinichi Oka, Massimo Pizzato, Takamasa Ueno

Scientific Reports | November 2020, Vol 10(1): pp. 19416-19416

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Video

Unlocking IoT Data for Research in Healthcare

November 4, 2020 | Dustin Burson, Nate Malubay

Discuss the challenges IoT data presents in Healthcare and how we (Health Cloud & Data) have addressed them. We will also walk through an end to end example using common, off the shelf personal health…

32:56

Publication

Interpretation of morphogen gradients by a synthetic bistable circuit

Paul Grant, Gregory Szep, Om Patange, Jacob Halatek, Valerie Coppard, Attila Csikasz-Nagy, Jim Haseloff, James C. W. Locke, Neil Dalchau, Andrew Phillips

Nature Communications | November 2020, Vol 11(5545)

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