Genomics4S

AI-assisted knowledge translation streamlines research communications for One Health initiatives addressing antimicrobial resistance and zoonotic diseases. What is gained in operational efficiency may come at the expense of authentic participation. By determining which evidence becomes visible and actionable, AI systems restrict epistemic pluralism, sideline essential stakeholder knowledge, and entrench existing disparities in global health.

The global AI in clinical trials market, valued at US$1.20 billion in 2023, is projected to grow at a 12.4% annually, reaching US$2.74 billion by 2030. As AI reshapes how patients are identified, matched, and enrolled in clinical research, regulatory frameworks must evolve to address the structural diversity, data flows, and ethical risks embedded in these emerging platforms.

With the advent of AI in healthcare, expertise and experiences accrued in ethics oversight of other controversial fields of biomedical...

Emotion recognition AI may not compromise the integrity of our bodies directly, but it can undermine our personal autonomy and free will.