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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

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Scaling early detection of esophageal cancer with AI

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Microsoft Health Futures

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Video

Project InnerEye: Augmenting cancer radiotherapy workflows with deep learning and open source

January 28, 2021 | Anton Schwaighofer, Ozan Oktay

Medical images offer vast opportunities to improve clinical workflows and outcomes. Specifically, in the context of cancer radiotherapy, clinicians need to go through computer tomography (CT) scans and manually segment (contour) anatomical structures. This is…

01:01:58

Webinar

Project InnerEye: Augmenting cancer radiotherapy workflows with deep learning and open source webinar

January 28, 2021 | Virtual/Online

In this webinar, Dr. Ozan Oktay and Dr. Anton Schwaighofer will analyze these challenges within the context of image-guided radiotherapy procedures and will present the latest research outputs of Project InnerEye in tackling these challenges.…

two headshots of ozan and anton next to their webinar title on innereye

Publication

Improving Economic Conditions Matter for Mortality: Changes in Local Economic Distress Associated with Mortality Among Medicare Fee-for-Service Beneficiaries Between 2003 and 2015

Harper O. Wallace, Kenan Fikri, Bill Weeks, James Weinstein

Journal of General Internal Medicine | January 2021

Publication

Examining the Prevalence of Previously Recorded Phenotypically Related Diagnoses Among Fee-for-Service Medicare Enrollees Newly Diagnosed with Mendelian Conditions

Bill Weeks, Grace Huynh, Stacey Y. Cao , Jeremy Smith , Chaitanya Bangur, James Weinstein

Journal of General Internal Medicine | January 2021

Publication

Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI

R. Tanno, D. E. Worrall, E. Kaden, A. Gosh, F. Grussu, A. Bizzi, S. N. Sotoripoulos, Antonio Criminisi, D. C. Alexander

Neuroimage | January 2021

Publication

Clinical Validation of a Novel T-cell Receptor Sequencing Assay for Identification of Recent or Prior SARS-CoV-2 Infection

Sudeb C. Dalai, Jennifer N. Dines, Thomas M. Snyder, Rachel M. Gittelman, Tera Eerkes, Pashmi Vaney, Sally Howard, Kipp Akers, Lynell Skewis, Anthony Monteforte, Pam Witte, Cristina Wolf, Hans Nesse, Megan Herndon, Jia Qadeer, Sarah Duffy, Emily Svejnoha, Caroline Taromino, Ian M. Kaplan, John Alsobrook, Thomas Manley, Lance Baldo

medRxiv | January 2021

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