Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

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 ...

There may be two distinct subtypes of multiple sclerosis, according to a new study led by scientists at University College ...

In a recent study published in The Lancet Digital Health, researchers performed a meta-analysis to evaluate the quality and performance of deep learning and machine learning models for long-term ...

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 ...

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 ...

A new computational approach will improve understanding of different states of carbon and guide the search for materials yet to be discovered. Materials — we use them, wear them, eat them and create ...

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 ...

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 ...

Joint research by the FAA and Swiss AI startup Daedalean is expected to help shape certification requirements for the use of machine-learning in safety-critical avionics. The research included flight ...