PharmTech

Integrating AI and Machine Learning in Drug Discovery and Development

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
EurekAlert!

Bayesian neural network evaluation method on the neutron-induced fission product yields of Thorium-232

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...
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 ...
Michigan Technological University

Researchers Apply Machine Learning and AI in Search of Less Costly Electronic Structure Method

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...