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 : The software tools for FOP nutrition labelling
Vintila luliana, University ”Dunarea de Jos” Galati, Romania
Title : Translation modulators to preserve neurodegenerative decline from metal toxicity
Jack Timothy Rogers, Harvard University, United States
Title : Farmers’ food literacy: A scoping review
Sarah Hennessy, Atlantic Technological University, Ireland
Title : Nutrients and bioactive compounds of non-traditional green leafy vegetables: A natural path to better health
Safiullah Pathan, Lincoln University of Missouri, United States
Title : AI-powered nutrition strategies for critically ill patients: Transforming outcomes in the ICU
Ali Amirsavadkouhi, Arta Arti Health Innovation, United Arab Emirates
Title : Where west meets east? Time to globalise Traditional, Complementary and Integrative Medicine (TCIM)
Dilip Ghosh, Nutriconnect, Australia