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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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Publication

Learning with Unsure Data for Medical Image Diagnosis

Botong Wu, Xinwei Sun (xinsun), Lingjing Hu, Yizhou Wang

ICCV 2019 : IEEE International Conference on Computer Vision | October 2019

Video

Our intern experience at Microsoft Research Cambridge

October 25, 2019 | Jayesh Gupta, Sheena Panthaplackel, Niranjani Prasad, Pablo Wilke Berenguer

Find out what it’s like to be an intern at the Microsoft Research lab in Cambridge, UK. Find out more and apply at: https://aka.ms/MSRCambridgeIntern

interns on the lawn of Microsoft Research Cambridge

0:03:38

Video

Working at Microsoft Research Cambridge

October 25, 2019 | Chris Bishop, Abigail Sellen, Ant Rowstron, Aditya Nori, Haiyan Zhang, Manuel Costa, Andrew Fitzgibbon

Here at Microsoft Research in Cambridge, we truly aspire to transform the world through deep research. Watch the video to find out more about our culture, ambition and research themes. Find out more at: https://aka.ms/MSRCambridge

Aditya Nori working on Healthcare Intelligence at Microsoft Research Cambridge

0:05:06

Publication

Abnormally Methylated FMR1 in Absence of a Detectable Full Mutation in a U.S.A Patient Cohort Referred for Fragile X Testing.

Hope Twede

Scientific Reports | October 2019, Vol 9(1): pp. 15315

Publication

A machine-learning algorithm successfully screens for Parkinson’s in web users

Brit Youngmann, Liron Allerhand, Ora Paltiel, Elad Yom-Tov, David Arkadir

Annals of Clinical and Translational Neurology | October 2019

Event

Microsoft at ASHG 2019

October 15, 2019 – October 19, 2019 | Houston, TX, USA

Visit the Microsoft Genomics team at the American Society of Human Genetics Conference 2019 at Booth #1421 and learn how you can enable your genomics sample-2-answer pipelines using Microsoft Genomics service and Partner solutions.

Publication

Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics.

Claire N. Bedbrook, Kevin Kaichuang Yang, J. Elliott Robinson, Elisha D. Mackey, Viviana Gradinaru, Frances H. Arnold

Nature Methods | October 2019, Vol 16(11): pp. 1176-1184

Publication

Multifactorial Model to Predict Response to PD-(L)1 Blockade in Patients with High PD-L1 Metastatic Non-Small Cell Lung Cancer

K. Arbour, Miruna Oprescu, J. Hakim, H. Rizvi, M. Leiserson, M. Ginsburg, A. Plodkowski, J. Sauter, I. Preeshagul, Sharon Gillett, Philip Rosenfield, Lester Mackey, Miro Dudík, M. Hellmann

Journal of Thoracic Oncology | October 2019, Vol 14(10): pp. S290

Project

Publication

De(con) Struction of the Lazy-F Loop: Improving Performance of Smith Waterman Alignment

Roman Snytsar

2019 Bioinformatics and Bioengineering | September 2019

Project

Moments of Change: Technology in Mental Healthcare

One of the biggest healthcare problems facing the world today is mental illness. In the “moments of change” project, we are exploring how technology can play a role in connecting people in need to mental…

Medical, health, and genomics

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