BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

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 ...
Nature

Machine learning-based predictive modelling of mental health in Rwandan Youth

Globally, mental disorders are a significant burden, particularly in low- and middle-income countries, with high prevalence in Rwanda, especially among survivors of the 1994 genocide against Tutsi.
Nature

Augmentation of wastewater-based epidemiology with machine learning to support global health surveillance

Wastewater-based epidemiology (WBE) has proven to be a valuable tool for monitoring the evolution and spread of global health threats, from pathogens to antimicrobial resistances. Throughout the COVID ...
The Hindu

Adopting artificial intelligence, machine learning become a necessity in health sciences: V-C of BLDE Deemed University

Vice-Chancellor of BLDE Deemed University, Vijayapura, Arun C. Inamadar has said that adopting artificial intelligence and machine learning in health sciences had become a necessity more particularly ...