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

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

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 ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

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

A new study published in Ecology Letters has uncovered the mechanisms underlying plant community assembly and biodiversity ...