This book outlines a transformative shift in food safety science from a reactive, empirical discipline to a predictive, data-driven field. It highlights the integration of omics technologies (genomics, transcriptomics, proteomics, metabolomics), systems biology, and risk intelligence to better understand pathogens, food systems, and human health outcomes. By leveraging high-throughput data and computational modelling, modern food safety approaches can predict pathogen behaviour, assess risks more precisely, and enable earlier detection of hazards. The framework emphasises interdisciplinary integration, combining molecular biology, data science, and public health to improve surveillance, outbreak investigation, and regulatory decision-making. Ultimately, this new paradigm supports more proactive, precise, and efficient food safety management in an increasingly complex global food system.
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