This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...

The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

A researcher has proposed a more targeted approach to AI drug discovery, which includes a rigorous evaluation protocol.

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, addressing complex material behaviors.