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 proof of concept study suggests an FT-IR microspectroscopy blood test can detect a single circulating tumour cell in a lung cancer patient, supporting future real time monitoring.

Overactive immune response disrupts brain function before neuronal damage occurs. Tracking urea levels and nerve cell markers ...

Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...

Agenda-driven opinion mills, designed more to sway public opinion than serve the public, might be harder to spot if AI is used to make them sound more original and rational. So the race is on to stay ...

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

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

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 ...

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...

Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...