AI-Driven Personalised Pediatric Nutrition

AI-Driven Personalised Pediatric Nutrition explores how emerging digital ecosystems, spanning immersive technologies, artificial intelligence, wearables, and online communities, are reshaping pediatric nutrition and child health. Bridging the intersection of nutrition science and digital health, this comprehensive reference integrates clinical data analysis, education, ethics, and policy into a unified framework. The volume provides practical strategies for the safe, ethical, and equitable implementation of digital nutrition interventions. Key topics include AI-driven personalization, digital therapeutics, immersive learning environments, data governance, equity, and child safety, all supported by global case studies and actionable implementation models. The book covers twelve thematic areas, each featuring international case studies, and cross-disciplinary insights. Readers will apply this knowledge to optimize growth and development, design patient-centered digital pathways, and inform policy decisions that promote safe, equitable digital nutrition care for all children. This reference supports rigorous assessment, scalable deployment, and sustained improvements in child health outcomes today.

• Integrates metaverse, AI, and nutrition to inform computer scientists developing metaverse technologies
• Addresses ethics, safety, and equity in children's digital health
• Provides evidence-based frameworks and case studies for digital nutrition interventions