Sepsis in patients with cirrhosis carries an in-hospital mortality exceeding 40%, reflecting a pathophysiology distinct from ...

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

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

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 ...

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

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

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

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been deployed and tested in operational use at the National Meteorological Center ...

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

The house in the distance, with a red, hip-shaped roof and white walls, tells Radu Casapu that this place is probably ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.