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

Pre-treatment integrase inhibitor resistance is uncommon in antiretroviral therapy-naive individuals with HIV-1 subtype A1 and D infections in Uganda.

Suzanne M. McCluskey, Kimia Kamelian, Nicholas Musinguzi, Simone Kigozi, Yap Boum, Mwebesa B. Bwana, Conrad Muzoora, Zabrina L. Brumme, Mary Carrington, Jonathan M. Carlson, Brian Foley, Peter W. Hunt, Jeffrey N. Martin, David R. Bangsberg, P. Richard Harrigan, Mark J. Siedner, Jessica E. Haberer, Guinevere Q. Lee

AIDS | May 2021, Vol 35(7): pp. 1083-1089

Project

Publication

A statistical pipeline for identifying physical features that differentiate classes of 3D shapes

Bruce Wang, Timothy Sudijono, Henry Kirveslahti, Tingran Gao, Douglas M. Boyer, Sayan Mukherjee, Lorin Crawford

The Annals of Applied Statistics | May 2021, Vol 15(2): pp. 638-661

Publication

SAMF: a Self-adaptive Protein Modeling Framework

Wenze Ding, Qijiang Xu, Siyuan Liu, Tong Wang, Bin Shao, Haipeng Gong, Tie-Yan Liu

Bioinformatics | May 2021

Project

Tool

InnerEye Inference API

InnerEye-Inference is a AppService webapp in python to run inference on medical imaging models trained with the InnerEye-DeepLearning toolkit. You can also integrate this with DICOM using the InnerEye-EdgeGateway.

GitHub Publication

Publication

Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India

Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian

PNAS | May 2021, Vol 118

Project Project

Event

Race and Technology: A Research Lecture Series

May 1, 2021 – June 30, 2022 | Virtual

You’re invited to join us as we bring together leading voices at the intersection of race and technology for discussions around data, the internet, justice, genomics and more. In this virtual speaker series, connect with the distinguished academics and domain experts who are driving this…