Testing sewage to home in on Covid-19

Letting an algorithm decide which maintenance holes to test for evidence of coronavirus could improve pandemic containment efforts.

Scott Murray | Institute for Data, Systems, and Society • mit
Oct. 28, 2020 ~5 min

AI Cures: data-driven clinical solutions for Covid-19

MIT conference illustrates technologies developed in response to the pandemic and new opportunities for AI solutions for clinical management.

Terri Park | MIT Schwarzman College of Computing • mit
Oct. 27, 2020 ~9 min


Silencing gene expression to cure complex diseases

Immuneering uses bioinformatics to develop new medicines while also helping large pharmaceutical companies improve their treatments.

Zach Winn | MIT News Office • mit
Oct. 26, 2020 ~9 min

Scientists uncover new clues about Parkinson’s disease

Tool developed at MIT simultaneously measures chemical and electrical brain signals, revealing unexpectedly complex relationship between brain signals.

Jennifer Michalowski | McGovern Institute for Brain Research • mit
Oct. 13, 2020 ~7 min

A step toward a universal flu vaccine

With computer models and lab experiments, researchers are working on a strategy for vaccines that could protect against any influenza virus.

Anne Trafton | MIT News Office • mit
Oct. 7, 2020 ~8 min

SMART researchers develop fast and efficient method to produce red blood cells

New technology cuts cell culture time by half and uses more targeted cell sorting and purification methods.

Singapore-MIT Alliance for Research and Technology • mit
Sept. 21, 2020 ~7 min

SMART research enhances dengue vaccination in mice

Sequential immunization might be safer and more effective than the existing tetravalent vaccine.

Singapore-MIT Alliance for Research and Technology • mit
Aug. 11, 2020 ~5 min

A new tool for modeling the human gut microbiome

Bacteria linked to Crohn’s disease are difficult to grow in the lab, but MIT engineers have found a way.

Anne Trafton | MIT News Office • mit
Aug. 6, 2020 ~7 min


An automated health care system that understands when to step in

Machine learning system from MIT CSAIL can look at chest X-rays to diagnose pneumonia — and also knows when to defer to a radiologist.

Adam Conner-Simons | MIT CSAIL • mit
July 31, 2020 ~5 min

Q&A: Peter Fisher discusses JASON report on reopening university laboratories

MIT physicist led government-backed effort to study the challenges and solutions surrounding campus lab work.

Peter Dizikes | MIT News Office • mit
July 30, 2020 ~7 min

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