A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

However, by the late 1970s, there was disappointment that the two main approaches to computing in medicine — rule-based systems and matching, or pattern recognition, systems — had not been as ...

Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.

Florence Nightingale’s innovative “rose diagram” of preventable deaths revolutionized data-driven disease surveillance. 1 Raw hospital mortality data collected during the Crimean War were transformed ...

Researchers at University of Tsukuba have developed a technology for real-time estimation of the valence state and growth rate of iron oxide thin films during their formation. This novel technology ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...

Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...