Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

Reducing liver fat has become a central target in the development of therapies for metabolic dysfunction–associated ...

After falling to Boston College, Syracuse hosts Virginia Tech at home Wednesday in search of a bounce-back win.

The phenomenon of ‘too much finance’ – the consistent research finding that an outsized financial sector undermines the ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

The ROAR trial tested the hypothesis that returning familial hypercholesterolemia-associated genetic results leads to ...

Sam Nelson is ready to beat some more bad guys – and this time he’s on the Berlin metro. Shenanigans will ensue!

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

Centers for Disease Control and Prevention researchers report national estimates of 43.6 million COVID-19-associated ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...