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

Translating Artificial Intelligence Breakthroughs into Cancer Diagnostic Breakthroughs

Juan M. Lavista Ferres, Elliot K. Fishman, Ed Catmull , Bert Vogelstein, Joshua T. Vogelstein

Cancer Discovery | September 2025

Video

Sub-Population Identification of Multi-morbidity in Sub-Saharan African Populations

August 25, 2025 | Skyler Speakman

This work bridges medical literature on multimorbidity with data science approaches to exploratory health data analysis. We define multimorbidity as the co-occurrence of at least two disease diagnoses from a pre-determined list, contributing to evolving…

12:16

Publication

Bridging Gaps in Ophthalmology Education Through Large Language Models

Shahrzad Gholami, Beth Wilson, Sarah Page, Daniel B. Mummert , Joseph Carr, Robert R. McNabb, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Dale E. Fajardo, Dale E. Fajardo

AJO International | August 2025

Project

Publication

A Disease-Centric Vision-Language Foundation Model for Precision Oncology in Kidney Cancer

Yuhui Tao, Zhongwei Zhao, Zilong Wang, Xufang Luo, Feng Chen, Kang Wang, Chuanfu Wu, Xue Zhang, Shaoting Zhang, Jiaxi Yao, Xin Jin, Xinyang Jiang, Yifan Yang, Dongsheng Li, Lili Qiu, Zhiqiang Shao, Jianming Guo, Nengwang Yu, Shuo Wang, Ying Xiong

ArXiv | August 2025, Vol abs/2508.16569

Podcast

Coauthor roundtable: Reflecting on healthcare economics, biomedical research, and medical education

August 21, 2025

For the series finale, Peter Lee, Carey Goldberg, and Dr. Zak Kohane compare their predictions to insights from the series’ most recent guests, including experts on AI’s economic and societal impact, leaders in AI-driven medicine,…

Illustrated headshots of Carey Goldberg, Peter Lee, and Dr. Isaac Kohane.

Publication

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology

Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong, Nicholas Woznitza, Mark Ames Pinnock, Maria Teodora Wetscherek, Cecily Morrison, Hannah Richardson (nee Murfet), Fernando Pérez-García, Stephanie Hyland, Shruthi Bannur, Daniel Coelho de Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Ranjit, Harshita Sharma, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya Nori, Stephen Harris, Joseph Jacob

ACM ToCHI | August 2025, Vol 32(2): pp. 1-61

Project

Publication

Exploring Scaling Laws for EHR Foundation Models

Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon

August 2025

Podcast

Reimagining healthcare delivery and public health with AI

August 7, 2025

Former Washington State Secretary of Health Dr. Umair Shah and Mayo Clinic CEO Dr. Gianrico Farrugia explore how healthcare leaders are approaching AI when it comes to public health, care delivery, the healthcare-research connection, and…

Illustrated headshots of Peter Lee, Umair Shah, Gianrico Farrugia

Publication

AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based Assistant to Support Genetic Professionals

Angela Mastrianni, Hope Twede, Aleksandra Sarcevic, Jeremiah Wander, C. Austin-Tse, Scott Saponas, Heidi L. Rehm, A. M. Conard, Amanda K. Hall

ACM Transactions on Interactive Intelligent Systems | August 2025

Publication

Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study

Md Nasir, Yixi Xu, Kyle Hasenstab, Alekhya Yechoor, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Guilherme Moura Cunha

PloS One | August 2025

Project

Medical, health, and genomics

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