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

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

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 ...

Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...

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

Researchers analyzed data from middle-aged workers who had received Specific Health Guidance -- a revolutionary system implemented by the Japanese Ministry of Health, Labor, and Welfare to improve ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...