Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...

New research demonstrates that ML can also predict metre-scale laboratory earthquakes, suggesting that, when scaled, similar ...

Artificial intelligence is revolutionizing drug discovery and antibody engineering, accelerating the creation of new ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

ABSTRACT: Atrial fibrillation (AF) is a leading cardiac arrhythmia associated with elevated mortality risk, particularly in low-resource settings where early risk stratification remains challenging.

Abstract: Classifying metals is an essential task in all industries to make sure the materials used in the processes are safe and meet the required standards all while enhancing operational and cost ...

Arsenal returned to winning ways in the Premier League on Saturday, beating Ange Postecoglou’s Nottingham Forest 3-0 at the Emirates Stadium. The headline team news was Declan Rice being rested in ...

Department of Rheumatology and Immunology, Ningbo NO.2 Hospital, Ningbo, Zhejiang, China Objective: This study aimed to evaluate the utility of machine learning algorithms in differentiating ...