Bringing the predictive power of artificial intelligence to health care
The startup ClosedLoop has created a platform of predictive models to help organizations improve patient care.
The startup ClosedLoop has created a platform of predictive models to help organizations improve patient care.
In light of Covid-19, an MIT study looks at tradeoffs between economic value and public health, across different types of retail.
Massachusetts Emergency Response Team helps manufacturers produce personal protective equipment and other medical devices for health care workers.
Data-informed efforts are contributing to the Institute’s ramp-up strategy.
Study: Vaccines find more success in development than any other kind of drug, but have been relatively neglected in recent decades.
Smith spoke with CSAIL Director Daniela Rus as part of a special series co-presented by the MIT Schwarzman College of Computing.
Using engineered binder proteins to detect viral proteins or antibodies rather than RNA, new tests may overcome current challenges in testing for SARS-CoV-2 virus.
Junli Hao's efforts aid procurement of face masks and respirators for first responders.
Lincoln Laboratory joins MIT and others in testing N95 and similar, imported respirator masks to check how well they keep out particles and blood.
MIT Governance Lab and the Institute for Governance Reform, working with the government of Sierra Leone, conduct rapid-response surveys to address Covid-19.
Professor Thomas Peacock is a member of the UN Global Compact Task Force urging coordinated international response for offshore and shipping industries.
Decisions on when to return to campus await more information but may involve a phased process and continued precautions.
New CRISPR-based research tool delivers results in an hour; researchers share protocol and kits to advance research and move toward clinical validation.
MIT professor’s research group leverages its capability for testing filtration efficiency to assess certain respirators for MEMA, others.
A machine learning algorithm combines data on the disease's spread with a neural network, to help predict when infections will slow down in each country.