ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL BIOLOGY IN HEALTHCARE: GENOMICS, PUBLIC HEALTH AND MICROBIOME

This book brings together pioneering research at the intersection of technology, health, and microbiology, showcasing how computational innovation and biological insight are reshaping our understanding of life and disease. Each chapter explores a unique frontier, from genomic science to artificial intelligence and microbial ecosystems. The first two chapters highlight the transformative role of digital technologies in health and genomics. The opening chapter discusses how cloud computing accelerates high-throughput genome assembly, enabling faster and more scalable genomic research. Following this, a deep learning- based early-warning system for malaria prediction demonstrates how environmental data and AI can be harnessed to anticipate and mitigate disease outbreaks. The third chapter expands on the impact of artificial intelligence in public healthcare. It explores how AI is revolutionizing diagnostics, treatment planning, and drug development, offering a glimpse into a future where precision medicine becomes the norm rather than the exception. Concluding the volume, the final chapter turns to the microbial world, revealing the untapped potential of traditional fermented foods as reservoirs of functional probiotics. This exploration bridges ancient culinary practices with modern microbiome science, emphasizing the value of cultural knowledge in advancing health and nutrition.