The findings provide new drug targets for stopping the infection’s spread.

Findings may help predict how rain and irrigation systems launch particles and pathogens from watery surfaces, with implications for industry, agriculture, and public health.

A deep neural network called CHAIS may soon replace invasive procedures like catheterization as the new gold standard for monitoring heart health.

Tissue processing advance can label proteins at the level of individual cells across large samples just as fast and uniformly as in dissociated single cells.

The nanoparticle-based vaccine shows promise against many variants of SARS-CoV-2, as well as related sarbecoviruses that could jump to humans.

Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.

The MIT Health and Life Sciences Collaborative will bring together researchers from across the Institute to deliver health care solutions at scale.

Novel method to scale phenotypic drug screening drastically reduces the number of input samples, costs, and labor required to execute a screen.

New statistical models based on physiological data from more than 100 surgeries provide objective, accurate measures of the body’s subconscious perception of pain.

MIT researchers find that the first dose primes the immune system, helping it to generate a strong response to the second dose, a week later.