MIT Open Learning team awarded NIH grant to provide training in biomedical product development, entrepreneurship, and innovation.

Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.

This year's fellows will work across research areas including telemonitoring, human-computer interactions, operations research,  AI-mediated socialization, and chemical transformations.

Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.

Despite the lack of concrete evidence in the field, MIT researchers placed a bet that their framework would work.

A new study links very dry and very humid indoor environments with worse Covid-19 outcomes.

Inspired by jellyfish and octopuses, PhD candidate Juncal Arbelaiz investigates the theoretical underpinnings that will enable systems to more efficiently adapt to their environments.

A new model that maps developmental pathways to tumor cells may unlock the identity of cancers of unknown primary.

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.

New research ties inaccuracies in pulse oximeter readings to racial disparities in treatment and outcomes.