Medical, health, and genomics
Project
Work & well-being
The COVID-19 pandemic changed the lives of people around the world at home and at work, with effects lasting beyond the lockdowns. Along with Microsoft’s New Future of Work Report 2022, this research looks at…
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Global response & information
The COVID-19 pandemic has affected nearly every aspect of life around the world, from healthcare and economics to diet and social needs. As a result, researchers have turned to a variety of methods to understand…
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Forecasting & modeling
The ability to model and forecast disease transmission, behavior, risk factors, illness and mortality is important for making public health decisions and allocating resources that can help mitigate the impact of a pandemic. The modeling…
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Prevention & control
Infectious diseases, including COVID-19, continue to pose a significant public health threat, and identifying new cases and tracking disease trends are crucial for effective prevention and control measures. In recent studies, researchers have used various…
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Treatment & diagnostics
“The T-Detect COVID Test is a novel technology that assesses the T cell immune response to COVID-19. Information and scientific data that deepen our understanding of SARS-CoV-2 remain important keys to get ahead of this…
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Understanding SARS-CoV-2
The novelty of the SARS-CoV-2 coronavirus led to a concerted effort by the global research community to better understand how the virus operates at the molecular level. The highlighted research here suggested answers to questions…
Group
COVID-19 Research
Collaborative biomedical research and innovation When the COVID-19 pandemic began the global science and research community quickly ramped up its efforts in society’s effort to understand, navigate, mitigate, and recover from its consequences. This included…
Publication
Exploring the Boundaries of GPT-4 in Radiology
Microsoft Research Blog
Research Focus: Week of October 9, 2023
Research Focus: Principal researcher Lester Mackey recognized for pioneering statistical and ML techniques; Pareto frontiers in neural feature learning; structural inequality in the influencer industry; new research on cardinality estimation.
