9th Edition of International Conference on
Nutrition Science, Clinical Nutrition & Public Health
March 18-20, 2027 | Singapore
Nutritional Data Modeling
Nutritional data modeling uses computational techniques and algorithms to analyze large datasets of nutritional information and predict outcomes related to diet and health. By integrating data from various sources, including dietary intake, genetic information, and biomarkers, researchers can identify patterns and correlations that would be impossible to detect manually. For instance, data modeling can reveal how certain dietary patterns may be linked to chronic conditions like heart disease or diabetes. These models can also help simulate the potential effects of dietary changes on health outcomes. Nutritional data modeling supports the development of evidence-based dietary guidelines, improving public health initiatives and personalized nutrition recommendations.
Safiullah Pathan
Lincoln University of Missouri, United States
Jack Timothy Rogers
Harvard University, United States
Tafere Gebreegziabher Belay
Central Washington University, United States
Nedyalka Naneva Valcheva
Vocational High School, Bulgaria
Dilip Ghosh
Nutriconnect, Australia
Andrea Maier Noth
University Albstadt Sigmaringen, Germany
Raffaella Conversano
University of Bari, ItalySubmit your abstract Today
Title : Assessment of a Metabolic Map 3.0 (MM3.0) in association with Cardio Metabolic-Renal Syndrome (CMR-S)
Antonio Claudio Goulart Duarte, Federal University of Rio de Janeiro, Brazil
Title : Brain health beyond cognition: Exploring the needs of an aging brain
Dilip Ghosh, Nutriconnect, Australia
Title : Beyond the apparent: Nutrition, perception, and resilience in contexts of cognitive vulnerability a transdisciplinary proposal inspired by the Volume Oltre l’Apparente (Conversano & irace, 2026)
Raffaella Conversano, University of Bari, Italy
Title : Nutrition, physical activity, mental health, and reproductive function in adolescent and young adult women: Neuroimmunometabolic perspectives
Malgorzata Mizgier, Poznan University of Physical Education, Poland
Title : Characterization of isolated strains of microorganisms from mineral, mountain and spring waters from France, Italy, England, South Korea, Japan, Netherlands, Austria, Spain, Singapore and Bulgaria
Nedyalka Naneva Valcheva, Vocational High School, Bulgaria
Title : Climate-smart legume composting and its influence on sweet potato yield, soil health, and nutrient quality
Topas M Peter, PNG University of Technology, Papua New Guinea