A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with ...
How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...
This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), ...
The AI in Life Science Market is anticipated to experience a remarkable compound annual growth rate (CAGR) of around 25% in ...
Discover how AI is transforming nutritional science by turning complex diet and omics data into predictive tools that reshape ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Objectives This study aimed to develop and validate a machine-learning (ML) model to predict iron deficiency without anaemia (IDWA) using routinely collected electronic health record (EHR) data. The ...
This retrospective study analyzed 3,114 diabetic patients from the Second Affiliated Hospital of Wannan Medical College (EDN1) and 1,496 patients from NHANES 2005-2018 (EDN2) for external validation.
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 ...
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