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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Published Date

Publication

The United States COVID-19 Forecast Hub dataset

Estee Y. Cramer, …, Chaozhuo Li, …

scientific data | April 2022

Project

Event

Swiss Joint Research Center Workshop 2022

March 29, 2022 – March 30, 2022 | Lausanne, Switzerland

This two-day Workshop brought together PhD students and postdocs working on collaborative research projects between academia and Microsoft via the Swiss Joint Research Center, Mixed Reality & AI Zurich Lab, Mixed Reality & AI Cambridge Lab (opens in…

Joint Research Centre Workshop 2021 header image

Publication

Active label cleaning for improved dataset quality under resource constraints

Melanie Bernhardt, Daniel Coelho de Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay

Nature Communications | March 2022, Vol 13(1161): pp. 1-11

Github Project Project

Video

Learning to Walk

March 3, 2022 | Professor Jitendra Malik

Legged locomotion is commonly studied and programmed as a discrete set of structured gait patterns, like walk, trot, gallop. However, studies of children learning to walk (Adolph et al) show that real-world locomotion is often…

01:17:20

Project

Generative Chemistry

The process for developing new drugs is incredibly complex, requiring the evaluation of hundreds of thousands of candidate compounds before a project reaches the clinical trial stage. This process is slow, costly, and requires immense…

Publication

Is There a Difference Between LI-RADS 3 to LI-RADS 5 Progression Assessment Using CT Versus MR? A Retrospective, Single-Center, Longitudinal Study of Patients Who Underwent 5082 Radiologic Examinations for Surveillance of Hepatocellular Carcinoma Over a 43-Month Period

Patricia I. Ojeda, Lindsay M. Hannan, Becky Mieloszyk, Christopher S. Hall, Achille Mileto, William P. Harris, James O. Park, Akshay D. Baheti, Daniel S. Hippe, Puneet Bhargava

Current Problems in Diagnostic Radiology | March 2022, Vol 51(2): pp. 176-180

Publication