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 ...

Here at Cyclingnews, we've tested all the best bike computers from the leading brands, so we can give you unbiased advice on ...

Georgetown University's Lombardi Comprehensive Cancer Center researchers have identified a new way to reprogram T cells, ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Sherry Gu, Executive Vice President and CTO at WuXi Biologics, explains the critical challenges of developing bispecific ...

Artificial intelligence is quietly transforming how scientists monitor and manage invisible biological pollutants in rivers, ...

Researchers have developed a new computational approach that uncovers possible drugs for specific cellular targets for ...

In the rolling hills of Iñapari, a remote town in the Peruvian Amazon on the tri-border with Bolivia and Brazil, cattle ...

In a surprising twist amid rising climate concerns, new research shows that scorching soil temperatures during extreme ...