Confronting the governance gap slowing safe and responsible AI adoption in healthcare. Just as CMMI brought discipline ...

Artificial intelligence is being positioned as a catalytic force in reshaping biomanufacturing, with policymakers, scientists and industry leaders outlining a roadmap that blends computational power ...

Insulin resistance—when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels—is one of the fundamental causes of diabetes. In addition to diabetes, it is ...

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

As integrated health technologies increasingly shape the future of heart failure management, this paper provides ...

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis Mission that could reshape how ...

New tool leverages proprietary hiring success learning models trained on 150M+ hiring outcomes and proven science ...

By merging telemetry data with machine learning, the advanced software platform detects issues early, reducing downtime and ...

Abstract: In order to solve the problem of control performance degradation in bearingless interior permanent magnet synchronous motors (BIPMSM) due to mismatched parameters and external disturbances, ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

Researchers, including the University of Tennessee, Knoxville’s Belinda Akpa, are using predictive modeling and machine ...