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 ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

In a recent study published in the Nature Medicine journal, researchers assessed the efficacy of the machine learning model in the prediction of mental health crises. The timely recognition of ...

Asthma can be predicted using non-biological measurements from the age of 3 years, according to one study. Machine learning models can predict physician-diagnosed asthma in early childhood, a recent ...

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 ...

The innovative “fragmentomics” approach could one day allow doctors to identify cancer in patients sooner than possible today using smaller blood draws LOS ANGELES--(BUSINESS WIRE)--Researchers at ...

Scientists used a new video-based machine learning tool to pinpoint otherwise-undetectable signs of early disease in mice that were engineered to mimic key aspects of Alzheimer's. Their work sheds ...

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 ...

“With the improvement of VLSI technology, on-chip power grid design is becoming more challenging than before. In this design phase of VLSI CAD, power grids are generated in order to make power and ...