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

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

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

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

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

A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors. Researchers ...

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

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

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