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 ...

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

Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a urine-based ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

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 ...

Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...

Producing the highest accuracy, the 9-gene set produced became the basis of the final classifier. When applied to multiple STS datasets, the model consistently separated patients into low-risk and ...

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

The inaugural competition surprisingly awarded two $100,000 grand prizes to address challenges in defining robust benchmarks for complex biology.