A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

A recent study published in the journal of Radiology showed that dynamic chest radiography (DCR) may serve as an effective ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Maintaining adequate CBF is crucial for astronauts' cognitive function during long-duration microgravity, but real-time monitoring in space is ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Researchers have developed a new prediction tool that could help clinicians better assess whether complete tumour removal is ...

:23 – Nope, not that one. Every one of Morton’s interceptions have been forced balls and there’s a dozen more close calls ...

In Week 11, I explained the difference between anticipated regression and the so-called "Gambler's fallacy", and in Week 12, ...

Racial, ethnic, and sex-based disparities persist in hospital length of stay following THA and TKA, but these factors alone may not be predictive of an extended stay.

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...