MIT alumnus’ platform taps the wisdom of crowds to label medical data for AI companies.

A new Jell-O-like material could replace metals as electrical interfaces for pacemakers, cochlear implants, and other electronic implants.

Tactile stimulation improved motor performance, reduced phosphorylated tau, preserved neurons and synapses, and reduced DNA damage, a new study shows.

MIT researchers built DiffDock, a model that may one day be able to find new drugs faster than traditional methods and reduce the potential for adverse side effects.

Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-Cov-2 strains

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

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

MuscleRehab is a system that uses electrical impedance tomography and optical motion tracking for visualizing muscle engagement and motion data during unsupervised physical rehabilitation.

By continuously monitoring a patient’s gait speed, an in-home wireless system can assess the condition’s severity between visits to the doctor’s office.

An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.