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 ...

And meta-regression further revealed an evaluation in predictive accuracy in prospective study designs (regression coefficient=2.289, P=0.001). Conclusions: Unlike previous narrative reviews, this ...

Background: Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease globally, yet early diagnosis remains challenging due to conventional biomarker limitations, including UACR ...

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 ...

Abstract: The growing sophistication and occurrence of cybersecurity threats demand intelligent and adaptive ways of assessing cyber risk. Traditional approaches may be based on static rules and ...