Success now depends on achieving the right balance between automation and human expertise—maintaining governance without sacrificing agility and ensuring security at scale. As data ecosystems stretch ...

Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly mitigate the subtle communication bias in LLMs that can distort public ...

AI Governance, Ethical AI, Healthcare Management, Bias Mitigation, Organizational Frameworks, Responsible AI Share and Cite: Grant, V. and Levasseur, R. (2026) Translating AI Ethics into Hospital ...

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A proteomics data pipeline transforms raw mass spectrometry spectra into biologically interpretable protein-level ...

Objective This study aims to explore how age and gender are associated with health deterioration related to caregiving among caregivers aged 75 and older in Spain. Design Observational, descriptive, ...

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Deepfake and continuous identity protection programs must therefore be framed not as experimental controls, but as ROI-driven investments.

Waterborne pathogens, particularly Cryptosporidium, pose a growing public-health risk in Australia and globally. Cryptosporidiosis notifications have increased markedly in recent years across multiple ...

The communities of Puntland, Somalia, have long engaged in environmentally harmful practices, including overgrazing, ...

Background: The factors involved in the association between obstetric trauma and the race of the birthing parent are uncertain. We sought to assess the association between race and obstetric trauma, ...