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 : Translation modulators to preserve neurodegenerative decline and from metal toxicity (Part II)
Jack Timothy Rogers, Harvard University, United States
Title : Antioxidant capacity of underutilized green leafy vegetables and their potential health benefits
Safiullah Pathan, Lincoln University of Missouri, United States