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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Microsoft Health Futures

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Publication

A combined segmenting and non-segmenting approach to signal quality estimation for ambulatory photoplethysmography

Jeremiah (Miah) Wander, Dan Morris

Physiological Measurement | November 2014, Vol 35

Publication

Search and Breast Cancer: On Disruptive Shifts of Attention over Life Histories of an Illness

Michael J. Paul, Ryen W. White, Eric Horvitz

MSR-TR-2014-144 | November 2014

Tool

FaST-LMM – Factored Spectrally Transformed Linear Mixed Model

FaST-LMM (Factored Spectrally Transformed Linear Mixed Models) is a program for performing genome-wide association studies (GWAS) on large data sets. It runs on both Windows and Linux system, and has been tested on data sets…

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Publication

A Time-Indexed Reference Standard of Adverse Drug Reactions

Rave Harpaz, David Odgers, Greg Gaskin, William DuMouchel, Rainer Winnenburg, Olivier Bodenreider, Alfred Sorbello, Anna Ripple, Ana Szarfman, Eric Horvitz, Ryen W. White, Nigam H. Shah

Scientific Data | November 2014

Video

Computing and Healthcare

November 6, 2014 | Michael Brady

Computing is already transforming healthcare; but the possibilities remain endless. Hospitals, entire communities are already networked, and Cloud will increasingly play a role, but there are major (legal) compliance issues with personal data. There is…

45:44

Publication

Nef-mediated down-regulation of CD4 and HLA class I in HIV-1 subtype C infection: Association with disease progression and influence of immune pressure

Jaclyn K Mann, Denis Chopera, Saleha Omarjee, Xiaomei T Kuang, Anh Q Le, Gursev Anmole, Ryan Danroth, Philip Mwimanzi, Tarylee Reddy, Jonathan M. Carlson, Mopo Radebe, Philip JR Goulder, Bruce D Walker, Salim Abdool Karim, Vladimir Novitsky, Carolyn Williamson, Mark A Brockman, Zabrina L Brumme, Thumbi Ndung'u

Virology | November 2014, pp. 214-225

Publication

Impact of HLA-Driven HIV Adaptation on Virulence in Populations of High HIV Seroprevalence

Rebecca Payne, Maximilian Muenchhoff, Jaclyn Mann, Hannah E. Roberts, Philippa Matthews, Emily Adland, Allison Hempenstall, Kuan-Hsiang Huang, Mark Brockman, Zabrina Brumme, Marc Sinclair, Toshiyuki Miura, John Frater, Myron Essex, Roger Shapiro, Bruce D. Walker, Thumbi Ndung'u, Angela R. McLean, Jonathan M. Carlson, Philip J. R. Goulder

Proceedings of the National Academy of Sciences of the United States of America | October 2014

Project

Publication

CD8 and CD4 Epitope Predictions in RV144: No Strong Evidence of a T-Cell Driven Sieve Effect in HIV-1 Breakthrough Sequences from Trial Participants

Kalpana Dommaraju, Gustavo Kijak, Jonathan M. Carlson, Brendan B Larsen, Sodsai Tovanabutra, Dan E Geraghty, Wenjie Deng, Brandon S Maust, Paul T Edlefsen, Eric Sanders-Buell, Silvia Ratto-Kim, Supachai Rerks-Ngarm, Sorachai Nitayaphan, Punnee Pitisuttihum, Jaranit Kaewkungwal, Robert J O'Connell, Merlin L Robb, Nelson L Michael, James I Mullins, Jerome H Kim, Morgane Rolland

PLoS One | October 2014

Publication

Data-Driven Decisions for Reducing Readmissions for Heart Failure: General Methodology and Case Study

Bayati M, Braverman M, Gillam M, Mack KM, Ruiz G, Smith MS, Eric Horvitz

US National Library of Medicine National Institutes of Health | October 2014

Publication

Segmentation of Brain Tumor Tissues with Convolutional Neural Networks

Darko Zikic, Yani Ioannou, Antonio Criminisi, Matthew Brown

MICCAI workshop on Multimodal Brain Tumor Segmentation Challenge (BRATS) | October 2014

Medical, health, and genomics

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