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Medical, health, & genomics

Accelerating discoveries in medicine, health, and genomics through advances in computing, AI, and data science.

Tyger - portable MRI story: comparison of MRI scans

When MRI images come into focus: How Tyger scales image reconstruction signals

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The AI Revolution in Medicine, Revisited [Podcast]

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Talos: Scaling rare disease diagnosis with automated, iterative genomic reanalysis

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Microsoft Health Futures

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Publication

Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities

Amit Sharma, Koustuv Saha

Proceedings of the 14th International AAAI Conference on Web and Social Media (ICWSM) | August 2020

Publication

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon

August 2020

arXiv | August 2020

Video Access

Publication

A large-scale database of T-cell receptor beta (TCRβ) sequences and binding associations from natural and synthetic exposure to SARS-CoV-2

Sean Nolan, Marissa Vignali, Mark Klinger, Jennifer N Dines, Ian M Kaplan, Emily Svejnoha, Tracy Craft, Katie Boland, Mitch Pesesky, Rachel M Gittelman, Thomas M Snyder, Christopher J Gooley, Simona Semprini, Claudio Cerchione, Massimiliano Mazza, Ottavia M Delmonte, Kerry Dobbs, Gonzalo Carreño-Tarragona, Santiago Barrio, Vittorio Sambri, Giovanni Martinelli, Jason D Goldman, James R Heath, Luigi D Notarangelo, Jonathan M. Carlson, Joaquin Martinez-Lopez, Harlan S Robins

August 2020

Research Square | August 2020

Project Project

Publication

Magnitude and Dynamics of the T-Cell Response to SARS-CoV-2 Infection at Both Individual and Population Levels

Thomas M Snyder, Rachel M Gittelman, Mark Klinger, Damon H May, Edward J Osborne, Ruth Taniguchi, H Jabran Zahid, Ian M Kaplan, Jennifer N Dines, Matthew N Noakes, Ravi Pandya, Xiaoyu Chen, Summer Elasady, Emily Svejnoha, Peter Ebert, Mitchell W Pesesky, Patricia De Almeida, Hope O'Donnell, Quinn DeGottardi, Gladys Keitany, Jennifer Lu, Allen Vong, Rebecca Elyanow, Paul Fields, Julia Greissl, Lance Baldo, Simona Semprini, Claudio Cerchione, Massimiliano Mazza, Ottavia M Delmonte, Kerry Dobbs, Gonzalo Carreño-Tarragona, Santiago Barrio, Luisa Imberti, Alessandra Sottini, Eugenia Quiros-Roldan, Camillo Rossi, Andrea Biondi, Laura Rachele Bettini, Mariella D'Angio, Paolo Bonfanti, Miranda F Tompkins, Camille Alba, Clifton Dalgard, Vittorio Sambri, Giovanni Martinelli, Jason D Goldman, James R Heath, Helen C Su, Luigi D Notarangelo, Joaquin Martinez-Lopez, Jonathan M. Carlson, Harlan S Robins

medRxiv | August 2020

Updated September 17, 2020

Project

Publication

Hospital Injury Encounters of Children Identified by a Predictive Risk Model for Screening Child Maltreatment Referrals: Evidence From the Allegheny Family Screening Tool

Rhema Vaithianathan, Emily Putnam-Hornstein, Alex Chouldechova, Diana Benavides-Prado, Rachel Berger

JAMA Pediatrics | August 2020, Vol 174(11): pp. 1-6

Publication

Uncertainty Modelling in Deep Learning for Safer Neuroimage Enhancement

Ryutaro Tanno, Daniel Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander

Neuroimage | August 2020

Publication

Price-Linked Subsidies and Imperfect Competition in Health Insurance

Sonia Jaffe, Mark Shepard

American Economic Journal: Economic Policy | July 2020, Vol 12(3): pp. 279-311

Microsoft Research Blog

Researchers use a strand-displacing DNA polymerase to do biocomputing

July 23, 2020 | Shalin Shah, Yuan-Jyue Chen

All around us, biochemical systems are regulating a variety of natural processes, from our body’s ability to protect our skin through the timely production of melanin to plants’ ability to convert carbon dioxide into carbohydrates…

Video

Frontiers in Machine Learning: Saving Lives with Interpretable ML

July 22, 2020 | Rich Caruana, Ankur Teredesai, Marzyeh Ghassemi

This session is about Saving Lives Using Interpretable Machine Learning in HealthCare. It’s critical to make sure healthcare models are safe to deploy. One challenge is that most patients are receiving treatment and that affects…

01:36:37

Publication

Generalizing Variational Autoencoders with Hierarchical Empirical Bayes.

Wei Cheng, Gregory Darnell, Sohini Ramachandran, Lorin Crawford

arXiv | July 2020

Medical, health, & genomics

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