A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.
The study also highlights the limitations of relying on body mass index (BMI) as a proxy for metabolic health.
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...
Insulin resistance—when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels—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 ...
Abstract: This article proposes a nonlinear model predictive controller (NMPC) combined with an augmented extended Kalman filter (AEKF) for sensorless brushless direct current (BLDC) motors. The ...
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 ...
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