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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

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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Podcast

Collaborators: Holoportation™ communication technology with Spencer Fowers and Kwame Darko

July 6, 2023

A global team of medical providers is leveraging Holoportation, a Microsoft 3D capture and communication technology, to widen access to specialized care. Computer engineer Spencer Fowers and plastic surgeon Kwame Darko discuss the collaboration.

black and white photos of Dr. Spencer Fowers, a member of the Special Projects Technical Staff at Microsoft Research and Dr. Kwame Darko, a plastic surgeon in the reconstructive plastic surgery and burns center in Ghana’s Korle Bu Teaching Hospital, next to the Microsoft Research Podcast

Publication

Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations

Asma Ben Abacha, Wen-wai Yim, Griffin Adams, Neal Snider, Meliha Yetisgen

ClinicalNLP@ACL 2023 | July 2023

Publication

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization

Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad

ACL 2023 | July 2023

Publication

Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography

Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee

ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023

Project

Publication

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Shruthi Bannur, Stephanie Hyland, Flora Liu, Fernando Pérez-García, Maximilian Ilse, Daniel Coelho de Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Teodora Wetscherek, Matthew Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | June 2023

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Microsoft Research Blog

Accounting for past imaging studies: Enhancing radiology AI and reporting

June 13, 2023 | Ozan Oktay, Javier Alvarez-Valle, Matthew Lungren

The use of self-supervision from image-text pairs has been a key enabler in the development of scalable and flexible vision-language AI models in not only general domains but also in biomedical domains such as radiology.…