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 ...

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

Abstract: The proposed Multi-Disease Prediction System will be a web application for predicting common diseases like diabetes, cancer, and chronic conditions using machine learning. The goal will be ...

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 ...