8th Edition of International Conference on
Nutrition and Food Sciences
March 26-28, 2026 | Singapore
Role of Artificial Intelligence in Nutritional Studies
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.
Jack Timothy Rogers
Harvard University, United States
Safiullah Pathan
Lincoln University of Missouri, United States
Andrea Maier Noth
University Albstadt Sigmaringen, Germany
Jack Timothy Rogers
Harvard University, United States
Safiullah Pathan
Lincoln University of Missouri, United States
Vintila luliana
University ”Dunarea de Jos” Galati, Romania
Andrea Maier Noth
University Albstadt Sigmaringen, GermanySubmit your abstract Today
Title : Translation modulators to preserve neurodegenerative decline from metal toxicity
Jack Timothy Rogers, Harvard University, United States
Title : Combined influence of nutrition and physical activity on reproductive health in adolescent and young adult women: Risks, benefits, and clinical implications
Malgorzata Mizgier, Poznan University of Physical Education, Poland
Title : The software tools for FOP nutrition labelling
Vintila luliana, University ”Dunarea de Jos” Galati, Romania
Title : The plant-based nutrition: How it’s going to help you lose weight and live a disease-free life
Olivier Mankondo, Mankondo Global Ltd, United Kingdom
Title : Hacking the obesity code: My science-backed journey to wellness
Samir Kohli, The Erring Human, Ecuador
Title : Obesity anthropometric and body composition measurements and indices as a predictor of simets score among Jordanian females
Buthaina Alkhatib, The Hashemite University, Jordan