The Role of AI in Nutrition & Food Science is revolutionizing the way food is produced, analyzed, and personalized for optimal health outcomes. AI-driven technologies enhance food safety by detecting contaminants in real-time, improving quality control, and optimizing processing methods. In nutrition, machine learning algorithms analyze health data to create personalized dietary recommendations, aiding in disease prevention and wellness management. AI also plays a crucial role in food formulation by predicting ingredient interactions, enhancing product development, and reducing food waste. Furthermore, AI-powered agricultural innovations are improving crop sustainability and yield. As advancements continue, the Role of AI in Nutrition & Food Science is shaping a future of safer, more efficient, and highly personalized food systems.
Title : Understanding the mechanisms underlying the protective actions of nutraceuticals in heart disease and other inflammatory disorders
Dipak P Ramji, Cardiff University, United Kingdom
Title : Quinoa green leaves: A promising nutrient-rich vegetable to improve human health
Safiullah Pathan, Lincoln University of Missouri, United States
Title : The development of healthy eating habits from infancy into adulthood
Andrea Maier Noth, University Albstadt Sigmaringen, Germany
Title : Globalisation of ayurveda through evidence-based nutraceutical route
Dilip Ghosh, Nutriconnect, Australia
Title : The legal issues regarding the fop nutrition claims labelling for foods and catering products
Vintila luliana, University ”Dunarea de Jos” Galati, Romania, Romania
Title : Pharma (Illness) to Nutra (Wellness): A new model in healthcare industry
Dilip Ghosh, Nutriconnect, Australia