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

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...

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 ...

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

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

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, ...

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