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

Current selections

Sort by: Most recent

Clear selections

Search within these results

Content Types

Published Date

Publication

Closing the Performance Gap Between AI and Radiologists in Chest X-Ray Reporting

Harshita Sharma, Maxwell C. Reynolds, Valentina Salvatelli, Anne-Marie G. Sykes, Kelly K. Horst, Anton Schwaighofer, Maximilian Ilse, Olesya Melnichenko, Sam Bond-Taylor, Fernando Pérez-García, Vamshi K. Mugu, Alex Chan, Ceylan Colak, Shelby A. Swartz, Motassem Nashawaty, Austin J. Gonzalez, Heather A. Ouellette, B. S. Erdal, Beth A. Schueler, Maria T. Wetscherek, Noel Codella, Mohit Jain, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Stephanie Hyland, Panos Korfiatis, Ashish Khandelwal, Javier Alvarez-Valle

November 2025

Project

Publication

Identifying treatment response subgroups in observational time-to-event data

Vincent Jeanselme, Chang Ho Yoon, Fabian Falck, Brian D. M. Tom, Jessica Barrett

AHLI Machine Learning for Health (ML4H) Symposium | November 2025

Publication

The Evidence Aggregator: AI reasoning applied to rare disease diagnostics

Hope Twede, Lynn Pais, S. Bryen, Emily O’Heir, Greg Smith, Ron Paulsen, C. Austin-Tse, A. Bloemendal, C. Simons, Amanda K. Hall, Scott Saponas, Jeremiah (Miah) Wander, Daniel G. MacArthur, Heidi L. Rehm, Ashley Conard

November 2025

bioRxiv | November 2025

Publication

BioAgents: Bridging the gap in bioinformatics analysis with multi-agent systems

Nikita Mehandru, Amanda K. Hall, Olesya Melnichenko, Yulia Dubinina, Daniel Tsirulnikov, David Bamman, Ahmed Alaa, Scott Saponas, Venkat S. Malladi

Scientific Reports | November 2025, Vol 15

Publication

Rad-Phi4-Vision-CXR: A Compact Multimodal Assistant for Versatile Radiology Workflows

Mercy Ranjit, Tanuja Ganu

Machine Learning for Health Symposium 2025 | November 2025

Project

Publication

When are radiology reports useful for training medical image classifiers?

Herman Bergström, Zhongqi Yue, Fredrik D. Johansson

ArXiv | October 2025, Vol abs/2510.24385

Publication

SNRAware: Improved Deep Learning MRI Denoising with Signal-to-Noise Ratio Unit Training and G-factor Map Augmentation

Hui Xue, Sarah M. Hooper, Iain Pierce, Rhodri H. Davies, John Stairs, Joseph Naegele, A. Campbell-Washburn, Charlotte Manisty, James C. Moon, T. Treibel, Peter Kellman, Michael Hansen

Radiology: Artificial Intelligence | October 2025, Vol 7(6)

Project

Paraphrase Project

The Paraphrase Project addresses a critical and emerging risk: as generative AI and synthetic biology advance, there is a growing possibility that open-source AI tools could be misused to design biological toxins that evade current…

Publication

High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training

Zhuoyi Huang, Nutan Sahoo, Anamika Kumari, Girish Kumar, Kexuan Cai, Shixing Cao, Yue Kang, Tian Xia, Somya Chatterjee, Nick Hausman, Aidan Jay, Eric S. Rosenthal, Soundar Srinivasan, Sadid A. Hasan, Alex Fedorov, Sulaiman Vesal

October 2025

arXiv | October 2025

Publication

Leveraging Large Language Models to Generate Multiple-Choice Questions for Ophthalmology Education

Shahrzad Gholami, Daniel B. Mummert, Beth Wilson, Sarah Page, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Dale E. Fajardo, Karine D. Bojikian

JAMA Ophthalmology | October 2025

Project

Medical, health, and genomics

Highlights