The Global AI in Predictive Toxicology Market is estimated to be valued at USD 635.8 Mn in 2025 and is expected to reach USD 3,925.5 Mn by 2032, exhibiting a compound annual growth rate (CAGR) of 29.7 ...

Historically, people have used stopwatches, cameras or trained eyes to assess walking and its deficits. However, recent technological advances such as motion capture, wearable sensors and data science ...

Researchers say the study indicates the ability to bring the power of AI and patient-reported outcomes directly into the clinic seamlessly, affordably, and at scale.

CHARTwatch, a machine learning model, shows promise in reducing patient mortality and improving outcomes in hospital settings, according to new CMAJ study. Study: Clinical evaluation of a machine ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares.

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 ...

SNS Insider research highlights a robust 29.37% CAGR from 2024 to 2032, fueled by breakthroughs in AI-driven drug discovery, genomics, and predictive analytics transforming personalized ...

Metabolite data and AI combine to redefine how we measure aging and predict health spans. Study: Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...