Artificial Intelligence is playing an increasingly important role in advancing Nutritional Studies by providing innovative solutions to complex research challenges. The role of artificial intelligence in nutritional studies enables the processing and analysis of large datasets, allowing for more accurate modeling of how nutrients affect metabolism and disease progression. In nutritional epidemiology, AI helps identify trends in diet patterns and their associations with chronic diseases. Furthermore, AI-powered technologies like predictive analytics can assist in creating personalized dietary interventions that optimize health based on individual profiles, such as genetics, lifestyle, and health history. As AI continues to evolve, it is poised to revolutionize nutritional science, offering precise and data-driven approaches to improving global health outcomes and combating nutrition-related diseases.
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