Researchers have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record.

By tracing the steps of liver regrowth, MIT engineers hope to harness the liver’s regenerative abilities to help treat chronic disease.

Using this diagnostic, doctors could avoid prescribing antibiotics in cases where they won’t be effective.

Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.

Innovative brain-wide mapping study shows that an “engram,” the ensemble of neurons encoding a memory, is widely distributed and includes regions not previously realized.

Study finds genome loops don’t last long in cells; theories of how loops control gene expression may need to be revised.

The NCSOFT-sponsored program will advance cutting-edge technologies for gaming and data visualization.

A new analysis shows how milk-producing cells change over time in nursing mothers.

A new deep-learning algorithm trained to optimize doses of propofol to maintain unconsciousness during general anesthesia could augment patient monitoring.

Study results also show that pancreatic tumor cells can be forced into a more susceptible state by changing their environment.