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 : The remarkable impact of a ketogenic diet on brain health
Amy Gutman, AdventHealth, United States
Title : The lipid-heart hypothesis and the dietary guidelines: Does the evidence support low dietary fat and saturated fat?
Mary T Newport, Independent Researcher, United States
Title : Therapeutic potential of therapeutic potential of AI Diet in the treatment of adolescent Polycystic Ovary Syndrome (PCOS) girls
Malgorzata Mizgier, Poznan University of Physical Education, Poland
Title : Using nutrition to optimize outcomes in connective tissue diseases
Neha Bhanusali, University of Central Florida, United States
Title : Globalisation of ayurveda through evidence-based nutraceutical route
Dilip Ghosh, Nutriconnect, Australia