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

female doctor / nurse reviewing a tablet

Microsoft Health Futures

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Video

Precision Health Engineering – Designing Health-Centered Mundane Technology to Increase Adherence

November 25, 2019 | Pablo Paredes

With the advent of ubiquitous computing, precision health, defined as the practice of personalized health, promises a future where we can prevent disease and maximize well-being. To succeed, we must engage healthy individuals to comply…

Video: Precision Health Engineering - Designing Health-Centered Mundane Technology to Increase Adherence

1:14:36

Publication

Mental illness and bipolar disorder on Twitter: implications for stigma and social support

Alexandra Budenz, Ann Klassen, Jonathan Purtle, Elad Yom-Tov, Michael Yudell, Philip Massey

Journal of Mental Health | November 2019

Project

Publication

Disability, Bias, and AI

Meredith Whittaker, Meryl Alper, Cynthia L. Bennett, Sara Hendren, Liz Kaziunas, Mara Mills, Meredith Ringel Morris, Joy Rankin, Emily Rogers, Marcel Salas, Sarah Myers West

MSR-TR-2019-38 | November 2019

Published by AI Now Institute

Video Project

Publication

Exploring the Potential for Technology to Improve Cystic Fibrosis Care Provision: Patient and Professional Perspectives

Sunil Rodger, Kenton O'Hara

CSCW | November 2019

Publication

Persuasive Data Videos: Investigating Persuasive Self-Tracking Feedback with Augmented Data Videos

Eun Kyoung Choe, Yumiko Sakamoto, Yanis Fatmi, Bongshin Lee, Christophe Hurter, Ashkan Haghshenas, Pourang Irani

Proceedings of AMIA 2019 | November 2019

Publication

Eye-controlled, power wheelchair performs well for ALS patients.

Michael A. Elliott, Henrique Malvar, Lindsey L. Maassel, Jon Campbell, Harish S. Kulkarni, Irina Spiridonova, Noelle Sophy, Jay Beavers, Ann Paradiso, Chuck Needham, Jamie Rifley, Maggie Duffield, Jeremy Crawford, Becky Wood, Emily J. Cox, James M. Scanlan

Muscle & Nerve | October 2019, Vol 60(5): pp. 513-519

Publication

Toward Fairness in AI for People with Disabilities: A Research Roadmap

Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna Wallach, Meredith Ringel Morris

ASSETS 2019 Workshop on AI Fairness for People with Disabilities | October 2019

Video Project

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

Medical, health, and genomics

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