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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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

Podcast

Navigating medical education in the era of generative AI

July 24, 2025

Next-generation physicians Morgan Cheatham and Daniel Chen discuss how generative AI is transforming medical education, exploring how students and attending physicians integrate new tools while navigating questions on trust, training, and responsibility.

AI Revolution | Illustrated headshots of Daniel Chen, Peter Lee, and Dr. Morgan Cheatham

Publication

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality

Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Narinder Pal Singh

July 2025

Project

Publication

Insights into a radiology-specialised multimodal large language model with sparse autoencoders

Kenza Bouzid, Shruthi Bannur, Felix Meissen, Daniel Coelho de Castro, Anton Schwaighofer, Javier Alvarez-Valle, Stephanie Hyland

Actionable Interpretability Workshop – ICML 2025 | July 2025

Project

Publication

Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection

Felipe Oviedo, Anum S. Kazerouni, Philipp Liznerski, Yixi Xu, Michael Hirano, Robert A. Vandermeulen, Marius Kloft, Elyse Blum, Adam M. Alessio, Christopher I. Li, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Habib Rahbar, Savannah C. Partridge

Radiology | July 2025

Project

Video

Scalable emulation of protein equilibrium ensembles with BioEmu

July 10, 2025 | Frank Noé

Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge. Microsoft Research AI for Science introduces BioEmu, a deep learning system that emulates protein equilibrium ensembles by…

06:45

Medical, health, and genomics

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