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 ...
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 ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
The global artificial intelligence (AI) in drug discovery market is experiencing rapid expansion, driven by the need to reduce the high costs and long timelines of traditional pharmaceutical ...
Abstract: The Modular Multilevel Converter (MMC) has garnered significant interest recently due to its superior harmonic performance and improved efficiency in high-voltage direct current electrical ...
Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots to scalable, physics-based intelligence across assets. Here’s how SciML can ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
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