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

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

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

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 ...

If program staff suspects you may have used AI tools to complete assignments in ways not explicitly authorized or suspect other violations of the honor code, they will contact you via email. Be sure ...

Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...

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.