A study published in peer-reviewed American Journal of Health-System Pharmacy last month found that machine learning and advanced analytics technology can successfully identify instances of drug ...

In a recent study published in Scientific Reports, researchers established a benchmark classification of major depressive disorder (MDD) using machine learning (ML) on cortical and subcortical ...

New machine learning study reveals how early-life chronic conditions like arthritis, mood disorders, and hypertension may drive premature death in people with IBD—highlighting critical opportunities ...

PORTLAND, Ore. (KOIN) – A team of researchers at Oregon Health & Science University received a $16 million grant to advance children’s mental health care using machine learning, the university ...

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

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

A predictive model utilizing serum metabolic profiles was able to distinguish ovarian cancer from control samples with 93% accuracy, according to a new study. Machine learning–based classification ...

Researchers at the Yale School of the Environment published a study “Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and ...

Researchers at the University of Toronto say they have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...