Machine learning techniques are increasingly central to the early detection and management of diseases affecting oil palm plantations, notably basal stem rot (BSR) caused by Ganoderma boninense. These ...

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

Photographic examples of a plant disease dataset. (a) Balck rot; (b) Northern leaf blight; (c) Isariopsis leaf spot; (d) Brown spot. Researchers have made significant progress in the field of ...

In a meta-analysis published in Gut Microbes, investigators pooled shotgun metagenomic sequencing data to examine how gut ...

Africa accounts for the majority of global births affected by the condition, yet universal newborn screening remains rare.

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Cardiovascular diseases remain one of the leading causes of mortality and morbidity worldwide. They are responsible for almost 31 percent of all deaths. India is also struggling with rising number […] ...

Add Yahoo as a preferred source to see more of our stories on Google. Testing for kidney function can help identify chronic kidney disease early enough to intervene. PIXOLOGICSTUDIO/Science Photo ...