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Review highlights interdisciplinary approaches to enhance One Health by integrating Digital Transformation and Exposome science.
Human activities increasingly disrupt global ecosystems, contributing to climate change, biodiversity loss, and emerging health threats. In response, the One Health framework has gained attention as an integrative approach encompassing human, animal, and environmental health. In a symposium at APPW2025, experts in Exposome science and Digital Transformation discussed how interdisciplinary integration can advance predictive and preventive medicine. This review summarizes five key topics: Exposome as a determinant of disease risk, epigenetic mechanisms encoding environmental memory, environmental programming of brown adipose tissue, adaptive prioritization of environmental signals, and simulation-based drug repurposing. Collectively, these studies highlight a paradigm shift from conventional linear exposure–disease models toward a systems-level understanding integrating cumulative exposures, biological memory, and predictive modeling. The convergence of Exposome science and Digital Transformation provides a foundation for advancing One Health into a predictive and actionable scientific framework. • Integration of Exposome and Digital Transformation advances One Health • Epigenetic mechanisms encode environmental memory across generations • Simulation-based drug repurposing enables rapid pandemic response • Environmental exposures shape long-term metabolic and physiological states • Adaptive prioritization reveals dynamic interpretation of environmental signals
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Yoneshiro et al. (2026) studied this question.
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