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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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Microsoft Health Futures

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Published Date

Publication

EEG and Eye-Tracking Error-Related Responses During Predictive Text Interactions: A BCI Case Study

Sophia K. Mehdizadeh, Ed Cutrell, R. Michael Winters, Nemanja Djuric, Yang Cheng, Ivan Tashev, Yu Te Wang

International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC ’23) | December 2023

Project

Microsoft Research Blog

Research Focus: Week of December 4, 2023

December 6, 2023

Research Focus: Using LLMs in a Rust-based formal verification framework; Rethinking network measurements with user feedback; 3D telemedicine using HoloportationTM communication technology could enhance overseas surgical visits.

Publication

When an Image is Worth 1,024 x 1,024 Words: A Case Study in Computational Pathology

Wenhui Wang, Shuming Ma, Hanwen Xu, Naoto Usuyama, Jiayu Ding, Hoifung Poon, Furu Wei

December 2023

Publication

Parameter-Efficient Fine-Tuning of Protein Language Models Improves Prediction of Protein-Protein Interactions

Samuel Sledzieski, Meghana Kshirsagar, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres

Machine Learning for Structural Biology Workshop, NeurIPS | December 2023

Project

Publication

Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images

S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim

2023 IEEE Nuclear Science Symposium | December 2023

Project

Publication

Large Multimodal Model for Real-World Radiology Report Generation

Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu

December 2023

Microsoft Research Blog

The Power of Prompting

November 28, 2023 | Eric Horvitz

Microsoft Chief Scientific Officer Eric Horvitz explains how new prompting strategies can enable generalist large language models like GPT-4 to achieve exceptional expertise in specific domains, such as medicine, and outperform fine-tuned specialist models.

Illustrated icons of a medical bag, hexagon with circles at its points, and a chat bubble on a blue and purple gradient background.

Publication

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz

November 2023

Microsoft Research Blog

GPT-4’s potential in shaping the future of radiology

November 27, 2023 | Javier Alvarez-Valle, Matthew Lungren

This research paper is being presented at the 2023 Conference on Empirical Methods in Natural Language Processing (opens in new tab) (EMNLP 2023), the premier conference on natural language processing and artificial intelligence. In recent…

EMNLP 2023 blog hero - female radiologist analyzing an MRI image of the head

Project

Healthcare Research at MSR India

At Microsoft Research Lab India, we conduct a variety of healthcare related research, including smartphone-based low-cost diagnostics, generative AI chatbots to support the healthcare ecosystem, and promote mental well-being of employees.

Medical, health, and genomics

Highlights