This year’s winner of Best use of machine learning/AI, ActiveViam stood out for delivering a practical, production-ready ...

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 ...

MFIs rely on standardized interest rate systems that treat borrowers uniformly, regardless of the individual likelihood of ...

Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...

In Karachi, a two-day Risk Scoring and STR Prioritization Workshop funded by the UK International Development was conducted ...

Pakistan: Researchers have found in a new study that machine learning models show strong promise in predicting postoperative ...

As part of "shift left" to incorporate security discussions earlier in the software development life cycle, organizations are beginning to look at threat modeling to identify security flaws in ...

Scientists at the Baylor College of Medicine and collaborating institutions used complementary approaches that integrate exome sequencing and evolutionary action machine learning to identify protein ...

The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...