Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

A noninvasive blood-based test identified cases of endometriosis that were missed by imaging, data at the Endocrine Society ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Machine learning maps suggest that about 180 to 220 million people may rely on untreated groundwater with manganese above the ...

Glucose-to-potassium ratio shows a J-shaped link with AKI after traumatic brain injury, with high levels predicting increased ...

Overview:  Explains how AI is transforming traditional microgrids into intelligent, self-optimizing energy systems.Compares ...

An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

Hydronic technicians have always been relying on their ears. Today, AI has brought those ears superhuman abilities, enabling ...

The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...

A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...

Analyzing thousands of proteins from a single drop of blood is no longer science fiction. High-throughput proteomics has transformed biomarker discovery by enabling simultaneous profiling of thousands ...

Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...