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 ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

See how Langraph powers a multi-agent stock sim with configurable rounds and models, helping you compare trade plans without ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

CES 2026 is just around the corner and we will be there again but, looking back, our 2025 coverage was very popular. Though ...

Summernats roars into town, Bluey hits the stage, and the Old Bus Depot Markets are back. Your first full week of 2026 is ...

After smoking more than 115 pounds of pork shoulder (plus chicken breasts, salmon, corn and pork chops), we feel confident ...