Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...

"Sensing Intelligence and Machine Learning" describes the combination of artificial intelligence (AI) and machine learning (ML) approaches with sensor technologies. This fusion improves sensor ...

By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on Machine Learning have been presented. According to news reporting from Hong Kong, People’ s Republic of China, by ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The uptake of artificial intelligence (AI), computer vision and machine learning has been ...

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

University of Texas at Dallas researchers have developed biosensor technology that, when combined with artificial ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

The primary focus of my lab is developing novel medical image analysis and machine learning tools for imaging data, through spatial correlation and cross-linking against pathology or molecular data.

Just like humans, artificial intelligence (AI) machine learning models are prone to bias. Understanding the nature of AI bias is paramount for critical applications that may impact life-or-death ...

Atopic dermatitis is known for its unpredictable course, marked by recurring flare-ups and symptom fluctuations. However, ...