AI-powered client screening helps estate planners filter risky prospects and conduct due diligence before asset transfers ...

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

A research team has now developed an intelligent, non-destructive method that integrates hyperspectral imaging (HSI) with a ...

Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new machine learning model developed at the University of Michigan.

Tested across eight lettuce types, the system successfully visualizes pigment spatial distribution from individual leaves to full canopies, offering a ...

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...

The inaugural competition surprisingly awarded two $100,000 grand prizes to address challenges in defining robust benchmarks for complex biology.

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 ...

People use shadow AI because it’s easy — so the fix is making approved, well-governed AI just as fast and frictionless.

Vodafone IoT is operationalising its hyperscaler ambition, putting the US at the heart of the action. Dennis Nikles, ...

Explore how the future of obesity drugs starts in preclinical discovery, addressing global challenges and advancing treatment ...

As robots and AI systems increasingly enter shared workspaces, domestic environments, and assistive contexts, understanding and predicting human behavior ...