Engineers develop surgical “duct tape” as an alternative to sutures
The sticky patch could be quickly applied to repair gut leaks and tears.
The downside of machine learning in health care
Assistant Professor Marzyeh Ghassemi explores how hidden biases in medical data could compromise artificial intelligence approaches.
2021-22 Takeda Fellows: Leaning on AI to advance medicine for humans
New fellows are working on electronic health record algorithms, remote sensing data related to environmental health, and neural networks for the development of antibiotics.
How Omicron escapes from antibodies
A computational study shows that dozens of mutations help the virus’ spike protein evade antibodies that target SARS-CoV-2.
Making RNA vaccines easier to swallow
A pill that releases RNA in the stomach could offer a new way to administer vaccines, or to deliver therapies for gastrointestinal disease.
Seeing into the future: Personalized cancer screening with artificial intelligence
Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.
An all-in-one approach to diabetes treatment
MIT engineers are working on a new kind of device that could streamline the process of blood glucose measurement and insulin injection.
The promise and pitfalls of artificial intelligence explored at TEDxMIT event
MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
Richard Cohen: Pioneering biomedical research and education at MIT for half a century
The physician, scientist, and professor has made influential contributions to the Harvard-MIT Program in Health Sciences and Technology since it began 50 years ago.
3 Questions: Kristin Knouse on the liver’s regenerative capabilities
The clinically-trained cell biologist exploits the liver’s unique capacities in search of new medical applications.
From counting blood cells to motion capture, sensors drive patient-centered research
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
Nonsense can make sense to machine-learning models
Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.
Machine-learning system flags remedies that might do more harm than good
The system could help physicians select the least risky treatments in urgent situations, such as treating sepsis.
Measuring cancer cell state can reveal drug susceptibility
Study results also show that pancreatic tumor cells can be forced into a more susceptible state by changing their environment.
New 10-minute test detects Covid-19 immunity
Paper-based blood test developed by SMART researchers can rapidly determine the presence of SARS-CoV-2 neutralizing antibodies.