This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

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 ...

Machine learning (ML), a subset of AI, has the capacity to address technical limitations that traditional diagnostic methods ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

Machine learning (ML) and artificial intelligence (AI) methodologies are having a revolutionizing impact in advancing biomolecular imaging and informatics, improving medical diagnosis, and enabling ...

DURHAM, N.C. – A machine learning model developed by Duke Health researchers can differentiate normal cognition from mild cognitive impairment using retinal images from the eye. The model analyzes ...

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct.