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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Published Date

Publication

A Topological Data Analytic Approach for Discovering Biophysical Signatures in Protein Dynamics

W. S. Tang, G. M. da Silva, H. Kirveslahti, E. Skeens, B. Feng, T. Sudijono, Kevin Kaichuang Yang, S. Mukherjee, B. Rubenstein, Lorin Crawford

bioRxiv | July 2021

Publication

Evidential Deep Learning for Guided Molecular Property Prediction and Discovery

Ava P. Amini, Alexander Amini, Samuel Goldman, Daniela Rus, Sangeeta N. Bhatia, Connor W. Coley

ACS central science | July 2021

Publication

Correlation of anatomical involvement patterns of insular gliomas with subnetworks of the limbic system

Ege Ülgen, Fuat Kaan Aras, Erdal Cosgun, Ayça Erşen-Danyeli, Alp Dinçer, M İmre Usseli, Koray Özduman, M Necmettin Pamir

Journal of Neurosurgery | July 2021, pp. 1-12

Publication

MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits.

Daniel E. Runcie, Jiayi Qu, Hao Cheng, Lorin Crawford

Genome Biology | July 2021, Vol 22(1): pp. 213

Publication

A deep learning model for predicting next-generation sequencing depth from DNA sequence

Jinny X. Zhang, Boyan Yordanov, Alexander Gaunt, Michael X. Wang, Peng Dai, Yuan-Jyue Chen, Kerou Zhang, John Z. Fang, Neil Dalchau, Jiaming Li, Andrew Phillips, David Yu Zhang

Nature Communications | July 2021, Vol 12

Project Project

Publication

Neural Pharmacodynamic State Space Modeling

Zeshan Hussain, Rahul Gopal Krishnan, David Sontag

2021 International Conference on Machine Learning | July 2021

Project

Project InnerEye Open-Source Software for Medical Imaging AI

Project InnerEye open-source tools are created and used by the medical imaging researchers at Microsoft Research. They are released at no-cost under an MIT open-source license to make them widely available for the global medical…

Publication