How will the public retain confidence in a system that rests on the painstaking articulation of reasoned logic as more and ...

Aga Khan University has launched the Kikohozi Classifier Project, an artificial intelligence-powered initiative aimed at enhancing early detection of ...

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease.

“Tooth agenesis, a congenital condition characterized by the absence of one or more teeth, is among the most common and ...

A flexible foam sensor built from silver selenide detects temperature and pressure simultaneously, enabling a robotic gripper ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

The future of sustainable transport planning may already be sitting in people’s pockets. By transforming everyday smartphone signals into high-resolution mobility data, researchers have reconstructed ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Postdoctoral researcher Johann Vargas Calixto uses machine learning and ultrasound technology to develop low-cost, accessible ...