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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Multi-scale Genomic Inference using Biologically Annotated Neural Networks

Pinar Demetci, Wei Cheng, Gregory Darnell, Xiang Zhou, Sohini Ramachandran, Lorin Crawford

bioRxiv | July 2020

Publication

Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis

Lorin Crawford, Anthea Monod, Andrew X. Chen, Sayan Mukherjee, Raúl Rabadán

Journal of the American Statistical Association | July 2020, Vol 115(531): pp. 1139-1150

Publication

Opportunities and Challenges for Analyzing Cancer Data at the Inter- and Intra-Institutional Levels

Julie Wu, Jordan Bryan, Samuel M. Rubinstein, Lucy Wang, Michele Lenoue-Newton, Raed Zuhour, Mia Levy, Christine Micheel, Yaomin Xu, Suresh K. Bhavnani, Lester Mackey, Jeremy L. Warner

JCO Precision Oncology | July 2020

Publication

Inequity in access to personalized medicine in France: Evidences from analysis of geo variations in the access to molecular profiling among advanced non-small-cell lung cancer patients: Results from the IFCT Biomarkers France Study.

Samuel Kembou Nzale, Bill Weeks, L’Houcine Ouafik, Isabelle Rouquette, Michèle Beau-Faller, Antoinette Lemoine, Pierre-Paul Bringuier, Anne-Gaëlle Le Coroller Soriano, Fabrice Barlesi, Bruno Ventelou

PLOS ONE | June 2020, Vol 15(7)

Publication

A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health Interventions.

Isabel Chien, Angel Enrique, Jorge Palacios, Tim Regan, Dessie Keegan, David Carter, Sebastian Tschiatschek, Aditya Nori, Anja Thieme, Derek Richards, Gavin Doherty, Danielle Belgrave

JAMA Network | June 2020, Vol 3(7)

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Quantifying Molecular Bias in DNA Data Storage

Yuan-Jyue Chen, Christopher N. Takahashi, Lee Organick, Callista Bee, Siena Dumas Ang, Patrick Weiss, Bill Peck, Georg Seelig, Luis Ceze, Karin Strauss

Nature Communications | June 2020, Vol 11(3264)

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Publication

Deep learning for prediction of the air quality response to emission changes

Jia Xing, Shuxin Zheng, Dian Ding, James T Kelly, Shuxiao Wang, Siwei Li, Tao Qin, Mingyuan Ma, Zhaoxin Dong, Carey J. Jang, Yun Zhu, Haotian Zheng, Lu Ren, Tie-Yan Liu, Jiming Hao

Environmental Science & Technology | June 2020, Vol 54(14): pp. 8589-8600

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