We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

AI-based analysis of OCT imaging may detect early signs of sickle cell maculopathy in pediatric patients, a study suggests.

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...

Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...

Despite differing regulatory philosophies, all regions recognize AI’s value in transactional transparency, anomaly detection, and early fraud prevention. The study identifies a clear shift from manual ...

Critical concerns regarding the security and privacy of information transmitted within Internet of Medical Things systems have increased greatly ...

As climate change produces ever more heat waves, how many homes in the U.S. lack adequate cooling? Who's most vulnerable to lethal temperatures, and exactly where do they live?

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...