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

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Microsoft Health Futures

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Publication

Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst

Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon

Pancreatology | September 2024

Project

Tool

RadFact

RadFact is a framework for the evaluation of model-generated radiology reports given a ground-truth report, with or without grounding. Leveraging the logical inference capabilities of large language models, RadFact is not a single number but…

GitHub

Publication

A Methodology for Using Large Language Models to Create User-Friendly Applications for Medicaid Redetermination and Other Social Services

Sumanth Ratna, Bill Weeks, Juan M. Lavista Ferres, Aneesh Chopra, Mayana Pereira

International Journal of Public Health | August 2024

Project

Microsoft Research Blog

Large-scale pathology foundation models show promise on a variety of cancer-related tasks

August 8, 2024 | Kristen Severson, Philip Rosenfield

Microsoft researchers collaborated to release new pathology foundation models. Their report shows models benefit from diverse data, increased model size, and specialized algorithms to enhance the accuracy and applicability of cancer diagnosis and treatment.

Male Doctor Using Computer At Desk In Hospital

Publication

Experiences from Running a Voice-Based Education Platform for Children and Teachers with Visual Impairments

Roshni Poddar, Tarini Naik, Manikanteswar Punnam, Kavyansh Chourasia, Rajeswari Pandurangan, Rajesh S Paali, Nagarathna R Bhat, Bhagyashree Biradar, Venkatesh Deshpande, Devidatta Ghosh, Sudipta Ray Chaudhuri, Dipanjan Chakraborty, Amit Prakash, Swami Manohar

ACM Journal on Computing and Sustainable Societies | August 2024, Vol 2(3)

Project

Video

Decoding the Human Brain – A Neurosurgeon’s Experience

August 1, 2024 | Dr. Pascal O. Zinn

Dr. Pascal O. Zinn, MD, PhD, FAANS Dr. Zinn will discuss his experience leveraging state-of-the-art techniques for decoding the human brain during awake surgeries and complex brain tumor removals. Utilizing electrical brain stimulation, electrocorticography (ECoG)…

01:23:36

Publication

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, Jimmy Hall, Thomas J. Fuchs, Nicolo Fusi, Siqi Liu, Kristen Severson

July 2024

Publication