A new study reports a promising approach to transform agricultural and industrial waste into high-performance porous carbon materials that could help ...

Inspired by the infrared sensory organs of snakes, which allow them to detect prey in complete darkness, researchers at UNIST have harnessed artificial intelligence (AI) to develop a sensor material ...

What started out as a response to labor shortages in poultry processing plants during the COVID-19 pandemic has turned into a robotics system that can learn by imitating human movements to handle ...

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

Worried that your latest ask to a cloud-based AI reveals a bit too much about you? Want to know your genetic risk of disease without revealing it to the services that compute the answer? There is a ...

Riddled with cancer, Rosie the rescue dog had only months to live, until her dogged owner collared a chatbot to collaborate with elite medical scientists in the quest for a cure.

Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

A comprehensive invited review published today in Brain Medicine confronts one of the most persistent paradoxes in modern medicine: psychiatry remains the only major clinical discipline that diagnoses ...

A new artificial intelligence system called DeepRare has beaten experienced rare-disease physicians at their own specialty, ...

A doctor-tech leader from India argues that genomic data infrastructure, resistance forecasting and sovereign AI discovery tools will be critical to future regional pandemic response.

NEW YORK – Ohio State University researchers are using urine samples to understand bladder cancer patients' tumor microenvironments in several ongoing clinical trials, and they're confident the method ...

New research assessing the efficacy of optical genome mapping (OGM) in a group of patients with acute leukemia has ...