Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Dr Yves R. Sagaert emphasizes the importance of organizations shifting away from traditional static budgeting, which relies ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

Young tropical forests can regrow twice as fast with enough nitrogen, dramatically increasing carbon capture, according to a ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...