Important mental health history is often present in medical records but hard to find, especially when it is missing from the ...

Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.

A new study led by researchers at The University of New Mexico School of Medicine analyzed electronic health records for more than 1.3 million patients served by the Veterans Health Administration ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

UK regulators are forcing Google to separate AI scraping from search rankings, giving publishers more control over content and traffic. The post The latest AI-powered martech news and releases ...

A recent study published in the journal Psychophysiology provides evidence that the human brain processes taboo words in a ...

A leaked internal memo reveals Meta's 2026 roadmap for new smart glasses, an AI-powered pendant, and enterprise wearable ...

Drug shortages were cited by 78.3% of respondents, with 60% managing >10 active shortages and meaningful weekly time burdens, underscoring persistent, labor-intensive operational fragility.

Researchers at MUSC Hollings Cancer Center have developed a machine learning tool to identify cancer patients who may be at high risk for financial toxicity—the financial stress and hardship that can ...

Artificial intelligence hurricane forecast models learn as they go, sharpened 2025 predictions and helped people act sooner ...

Construction projects generate constant signals about cost, schedule, labor, safety and risk, but predictive analytics turns ...

Abstract: Accurate prediction of solder joint characteristic life is crucial for ensuring the reliability of electronic assemblies, especially under severe environmental conditions. This study ...