Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Informatics Perspectives on the National Cancer Policy Forum Workshop “Enabling 21st Century Applications for Cancer Surveillance Through Enhanced Registries and Beyond” ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...