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 ...
Glucose-to-potassium ratio shows a J-shaped link with AKI after traumatic brain injury, with high levels predicting increased ...
Machine learning maps suggest that about 180 to 220 million people may rely on untreated groundwater with manganese above the ...
The house in the distance, with a red, hip-shaped roof and white walls, tells Radu Casapu that this place is probably ...
An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...
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 ...
Overview: Explains how AI is transforming traditional microgrids into intelligent, self-optimizing energy systems.Compares ...
Hydronic technicians have always been relying on their ears. Today, AI has brought those ears superhuman abilities, enabling ...
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 ...
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