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

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

A urosepsis prediction model based on 6 factors demonstrated strong performance among a Chinese cohort. A large-scale study of 33,579 urinary stones from Southern China, published in the International ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

This issue of The Journal of Risk Model Validation features two papers that directly address validation using machine learning. Whether their findings imply we will all (including the editor) become ...

Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...