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Elsevier

AI-Driven Personalised Pediatric Nutrition

  • 1st Edition - February 1, 2027
  • Latest edition
  • Editors: Gayathri Nagasubramanian, Valentina Emilia Balas, S. Rakesh Kumar
  • Language: English

AI-Driven Personalised Pediatric Nutrition explores how emerging digital ecosystems, spanning immersive technologies, artificial intelligence, wearables, and online commun… Read more

Description

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.

Key features

  • 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

Readership

Biomedical informatics researchers, healthcare AI practitioners

Table of contents

1. Introduction: Children, Nutrition, and the Digital Frontier

2. Principles of Pediatric Nutrition in the Digital Era

3. Understanding the Metaverse and Digital Health Ecosystems

4. AI-Driven Gamification and Immersive Learning for Personalized Pediatric Nutrition: Strategies and Case Studies

5. AI, Big Data, and Personalized Pediatric Nutrition

6. Digital Therapeutics for Pediatric Malnutrition and Obesity: AI-Enabled Interventions, Personalized Care, and Clinical Outcomes

7. Family-Centered Care and Digital Communities in Pediatric Nutrition: Enhancing Engagement, Support, and Personalized Health Outcomes

8. Equity and Access in Digital Nutrition Pathways

9. Ethics, Privacy, and Child Safety in the Metaverse

10. Policy and Systems Integration for AI-Driven Pediatric Nutrition Ecosystems

11. The Future of Pediatric Nutrition in the Metaverse

12. Digital Inequality and Nutritional Justice in Childhood: Equity Challenges in Technology-Driven Health

13. Healthy Childhood in the Digital World: Balancing Technology, Development, and Well-Being in Modern Childhood

Product details

  • Edition: 1
  • Latest edition
  • Published: February 1, 2027
  • Language: English

About the editors

GN

Gayathri Nagasubramanian

N. Gayathri, PhD is an Assistant Professor in the Department of Computer Science and Engineering at GITAM University, Bengaluru. Her research focuses on big data analytics, the Internet of Things (IoT), and computer networks. Dr. Gayathri holds multiple patents, including granted patents in India and Australia, and serves as a Guest Editor for Recent Patents on Computer Science. She has contributed to the scholarly literature through journal articles, conference papers, book chapters, and edited volumes. In addition, she is an active peer reviewer for several international journals, including Mobile Networks and Applications, Expert Systems with Applications, Sustainable Computing: Informatics and Systems, and the IEEE Internet of Things Journal. Her work spans data-driven technologies and their applications in intelligent and connected systems.
Affiliations and expertise
Assistant Professor, Department of Computer Science and Engineering, GITAM University, Bengaluru, Karnataka, India

VB

Valentina Emilia Balas

Valentina Emilia Balas is Full Professor in the Department of Automatics and Applied Software, Faculty of Engineering, Aurel Vlaicu University of Arad, Romania. She holds a PhD in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Her research interests include intelligent systems, fuzzy systems, soft computing, smart sensors, information fusion, modeling, and simulation. Dr. Balas serves as Director of the Intelligent Systems Research Center and Director of International Relations, Programs and Projects at Aurel Vlaicu University of Arad. She is Editor-in-Chief of the International Journal of Advanced Intelligence Paradigms and International Journal of Computational Systems Engineering, and serves on the editorial boards of several scientific journals. She has led and contributed to numerous national and international research initiatives, including the European Union-funded BioCell-NanoART project on bio-inspired cellular nano-architectures. She is active in several professional societies and technical committees, including IEEE, the European Society for Fuzzy Logic and Technology, and the Society for Industrial and Applied Mathematics.
Affiliations and expertise
Aurel Vlaicu University of Arad, Arad, Romania

SK

S. Rakesh Kumar

S. Rakesh Kumar, PhD, is Assistant Professor in the Department of Artificial Intelligence and Data Science at GITAM University, Bengaluru. His research focuses on big data analytics, Internet of Things (IoT), computer networks, and cloud computing. He is the holder of multiple Indian patents and has contributed to scholarly literature through journal articles, conference papers, book chapters, and edited volumes in areas related to data-driven computing and emerging digital technologies. Dr. Kumar also serves as a reviewer for several international journals covering topics such as intelligent systems, sustainable computing, mobile networks, and IoT applications. His work spans research, innovation, and academic engagement in computing technologies and their real-world applications.

Affiliations and expertise
Aurel Vlaicu University of Arad, Arad, Romania