According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...

Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...

University of Victoria (UVic) biologists have discovered that even closely related fish species make unique and distinctive ...

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

Urinrinoghene Lauretta Omughelli, a Nigerian cloud infrastructure and artificial intelligence (AI) systems engineer, is ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

Acute systemic inflammation has long been suspected to trigger harmful processes within the brain, contributing to ...