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Abstract

<jats:p>The growing threat of emerging infectious diseases emphasizes the need for proactive health monitoring, particularly in underserved rural areas. This chapter explores the innovative integration of artificial intelligence (AI) and predictive genomics to enhance pandemic prevention and rural healthcare. Genomic surveillance, powered by next-generation sequencing (NGS), provides real-time insights into pathogen evolution and variant emergence. AI-driven models transform vast genomic data into actionable insights, enabling precise public health interventions. Portable, cost-effective sequencing tools with edge computing extend these capabilities to remote regions. Case studies reveal AI's impact in recent health crises, highlighting lessons in governance, collaboration, and ethical considerations like privacy and equity. The chapter advocates predictive health strategies and global cooperation to build resilient rural healthcare systems, reduce disease burdens, and strengthen global health security.</jats:p>

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Keywords

health rural chapter predictive healthcare

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