Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

The accurate estimation of bearing stratum depth, the subsurface soil or rock layer depth that can support a foundation, is ...

Fighting off pathogens is a tour de force that must happen with speed and precision. A team of researchers at CeMM and MedUni ...

By integrating large-kernel convolutional blocks and a novel loss function, LKNet effectively addresses challenges such as ...

Discretionary screen time, reported by parents or self, was assessed in relation to a composite cardiometabolic risk score ...

This is a valuable computational study of odor responses in the early olfactory system of insects and vertebrates. The study addresses the question of how information about odor concentration is ...

While the precedent set by Recentive Analytics, Inc. v. Fox Corp.[1] presents a formidable challenge, it does not represent a complete foreclosure ...

Optimizing machine learning (ML) model performance relies heavily on appropriate data preprocessing techniques. Despite the widespread use of standardization and normalization, empirical comparisons ...

Methods: We developed a machine learning prediction model using the MIMIC-IV database (n = 14,716 patients, including 1,302 high-risk cases). To address class imbalance, we implemented feature ...

A new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan.