New research suggests that weight gained in the first 12 weeks of antipsychotic treatment is the biggest driver of long-term ...
This important study uses a tripartite transdiagnostic computational framework to distinguish depression-specific, anxiety-specific, and shared psychopathology dimensions, in their relationships to ...
In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...
New research reveals a model to predict chronic immune thrombocytopenia in children at diagnosis. Learn how it could guide ...
The controversial gambling product is bringing together the most unexpected of crews, in Clive Palmer, Daniel Crennan and ...
A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.
Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...
Researchers have developed a multi-fidelity framework for lithium-ion battery lifespan prediction that combines coupled ...
A new study develops and validates a nomogram to predict the need for continuous renal replacement therapy (CRRT) in patients with acute kidney injury (AKI) after lung transplantation. By integrating ...
Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...
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