Although the global digital transformation of health care has faced resistance, FCV has charted its own path toward a digital ...

The most comprehensive model of the brain’s metabolism, incorporating more than 16,800 biochemical interactions, has ...

Researchers have developed a smartphone app that uses machine learning to accurately determine body composition—which is ...

By analyzing huge amounts of biological data, the use of machine learning accelerates the identification of critical control ...

In what's expected to soon be commonplace, artificial intelligence is being harnessed to pick up signs of cancer more ...

ICMR, in collaboration with Aiims Delhi and Ministry of Civil Aviation, has conducted drone-based transport of a human cornea ...

Made by combining several emerging technologies, human “bodyoids” could reduce animal testing, improve drug development, and alleviate organ shortages.

Researchers at the Advanced Research Unit on Metabolism, Development & Aging (ARUMDA), in the Tata Institute of Fundamental ...

Understanding aches, pains, and medical conditions is a challenging task. Doctors and other health professionals attend ...

VUMC and the Rollins School of Public Health have developed a predictive model to identify newborns at risk of severe NOWS.

Commercial interest in the technology is not surprising. Last year, China announced that so-called bio digital twins would be ...

For millions worldwide, a brain injury or neurological disorder can strip away the basic ability to speak or communicate.