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

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Scaling early detection of esophageal cancer with AI

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Published Date

Project

Multimodal AI for Radiology Applications Project MAIRA is a research project from Microsoft Health Futures that builds innovative, multimodal AI technology to assist radiologists in delivering effective patient care and to empower them in their…

Tool

Lymphoma lesion segmentation DNN

Lymphoma lesion segmentation and quantitation plays a pivotal role in the diagnosis, treatment planning, and monitoring of lymphoma patients. Accurate segmentation allows for the precise delineation of pathological regions, aiding clinicians in assessing disease extent…

GitHub Publication

Publication

3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology

Asma Ben Abacha, Alberto Santamaria-Pang, Ho Hin Lee, Jameson Merkow, Qin Cai, Surya Teja Devarakonda, Abdullah Islam, Julia Gong, Matthew P Lungren, Thomas Lin, Noel Codella, Ivan Tarapov

arXiv:2311.13752 | November 2023

Podcast

What’s Your Story: Desney Tan

November 16, 2023

From service in the Singapore Armed Forces to autonomous navigation with NASA & VR with Disney, Desney Tan’s life journey hasn’t been linear. Learn how Tan landed at Microsoft & about the purpose guiding his…

Publication

Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images

Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim

November 2023

Github

Publication

Using Artificial Intelligence to Advance Public Health

Bill Weeks, Brian Taliesin, Juan M. Lavista Ferres

International Journal of Public Health (IJPH) | November 2023

Project

Publication

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon

ArXiv | November 2023, Vol abs/2311.01301

Publication

Ghana 3D Telemedicine International MDT: A Proof-of-concept study

Spencer Fowers, Andrea Britto Mattos Lima, Thiago V. Spina, David Tittsworth, Amber Hoak, Ben Cutler, Christopher O'Dowd, Johnny Johnson

Journal of Plastic, Reconstructive, and Aesthetic Surgery | November 2023

Project

Publication

CREaTor: zero-shot cis-regulatory pattern modeling with attention mechanisms. Genome Biology

Yongge Li, Fusong Ju, Zhiyuan Chen, Yiming Qu, Huanhuan Xia, Liang He, Jianwei Zhu, Lijun Wu, Bin Shao, Pan Deng

Genome biology | November 2023

Project

Work & well-being

The COVID-19 pandemic changed the lives of people around the world at home and at work, with effects lasting beyond the lockdowns. Along with Microsoft’s New Future of Work Report 2022, this research looks at…

Medical, health, and genomics

Highlights