Keeping indoor humidity levels at a “sweet spot” may reduce spread of Covid-19
A new study links very dry and very humid indoor environments with worse Covid-19 outcomes.
A new study links very dry and very humid indoor environments with worse Covid-19 outcomes.
Valued mentor was known for research in intensity perception, hearing-impairment characterization, and aids for the deaf.
By analyzing enzyme activity at the organism, tissue, and cellular scales, new sensors could provide new tools to clinicians and cancer researchers.
Professors Arup Chakraborty, Lina Necib, and Ronald Fernando Garcia Ruiz as well as Yuan Cao SM ’16, PhD ’20; Alina Kononov ’14; Elliott H. Lieb ’53; Haocun Yu PhD ’20; and others honored for contributions to physics.
At an exhibition marking two decades since a transformative gift from the Picower Foundation, current and alumni members described research at the forefront of neuroscience and beyond.
Greater availability of de-identified patient health data would enable better treatments and diagnostics, the researchers say.
Study finds computer models that predict molecular interactions need improvement before they can help identify drug mechanisms of action.
The MIT researcher and former professor discusses how Covid-19 and the influx of virtual technologies created a new medical ecosystem that needs more synchronized oversight.
A new device, which doesn’t rely on immunosuppressing drugs, may assist efforts to develop an artificial pancreas to treat diabetes.
New research ties inaccuracies in pulse oximeter readings to racial disparities in treatment and outcomes.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.
Alex Shalek’s technologies for single-cell RNA profiling can help dissect the cellular bases of complex diseases around the globe.
The MIT School of Engineering recently honored outstanding faculty, graduate, and undergraduate students with its 2022 awards.
Researchers have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record.
Piction Health, founded by Susan Conover SM ’15, uses machine learning to help physicians identify and manage skin disease.