Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...

With over 20 million residents, the city’s hospitals face immense pressure to deliver timely and accurate medical services. A ...

As the world’s population hurtles toward 10 billion, a haunting question echoes: Will there be enough food for everyone? Food security has become the hottest issue across the world. Contents1. Kenya2.

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

A large language model called Delphi-2M analyzes a person’s medical records and lifestyle to provide risk estimates for more ...

For many years, Sree Hari Subhash has been a data engineer who has built and implemented artificial intelligence in many ...

Scientists in Japan have developed a new, highly efficient method for designing wireless power transfer (WPT) systems. Based on machine learning, the method enables a system to maintain stable voltage ...

Among hospitalized patients with cirrhosis, a machine learning (ML) model enhanced mortality prediction compared with traditional methods and was consistent across country income levels in a large ...

Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...

Background: Metabolic dysfunction-associated fatty liver disease (MAFLD) is a prevalent and progressive liver disorder closely linked to obesity and metabolic dysregulation. Traditional anthropometric ...

SENSE, a nationwide artificial intelligence (AI) initiative to interpret cardiac imaging scans in minutes, aiding early detection and prediction of coronary artery disease SENSE, a nationwide ...