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

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 ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

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

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

insights from industryJohanna Uhari-Väänänen & Timo BraggeGroup Leader (Neuropharmacology) - Senior Data ScientistCharles River Laboratories In this interview, industry experts Johanna Uhari-Väänänen ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

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