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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

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Scaling early detection of esophageal cancer with AI

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Published Date

Publication

Deep offline reinforcement learning for real-world treatment optimization applications

Mila Nambiar, Supriyo GHOSH, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy

Knowledge Discovery and Data Mining (KDD) [Applied Data Science Track] | August 2023

Publication

Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants

Isabel Chien, Richard Turner, Javier González

ICML 2024 | July 2023

Publication

Neural Graph Revealers

Harsh Shrivastava, Urszula Chajewska

Workshop Machine Learning for Multimodal Healthcare Data (ICML 2023) | July 2023

Project

Publication

Modeling to explore and challenge inherent assumptions when cultural norms have changed: a case study on left-handedness and life expectancy

Juan M. Lavista Ferres, Md Nasir, Avleen Bijral, S V Subramanian, Bill Weeks

Archives of Public Health | July 2023

Podcast

Collaborators: Gaming AI with Haiyan Zhang

July 20, 2023

For over a decade, Xbox has been leveraging AI to elevate gaming. Haiyan Zhang, GM of Gaming AI, explores the collaborations behind the work and the potential for generative AI to support better experiences for…

black and white photos of Haiyan Zhang, General Manager of Gaming AI at Microsoft Gaming, next to the Microsoft Research Podcast

Video

AI for Precision Health

July 18, 2023 | Hoifung Poon, Matt Lungren, Carlo Bifulco

Join us as we explore how Microsoft Research leverages real-world observational data to optimize healthcare delivery and accelerate biomedical discovery. Witness the power of large language models in structuring patient records and facilitating just-in-time clinical…

side of girl's smiling face distorted by missing sections

04:44

Publication

AI2BMD: efficient characterization of protein dynamics with ab initio accuracy

Tong Wang, Xinheng He, Mingyu Li, Yusong Wang, Zun Wang, Shaoning Li, Bin Shao, Tie-Yan Liu

July 2023

Publication

Improving machine learning force fields for molecular dynamics simulations with fine-grained force metrics

Zun Wang, Hongfei Wu, Lixin Sun, Xinheng He, Zhirong Liu, Bin Shao, Tong Wang, Tie-Yan Liu

The Journal of Chemical Physics | July 2023, Vol 159(3)

Cover Story

Publication

Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events

Yu Gu, Sheng Zhang, Naoto Usuyama, Yonas Woldesenbet, Cliff Wong, Praneeth Sanapathi, Mu Wei, Naveen Valluri, Erika Strandberg, Tristan Naumann, Hoifung Poon

July 2023

Publication

An Investigation of Evaluation Methods in Automatic Medical Note Generation

Asma Ben Abacha, Wen-wai Yim, George Michalopoulos, Thomas Lin

ACL (Findings) 2023 | July 2023

Medical, health, and genomics

Highlights