Listar por tema "precision nutrition"
Mostrando ítems 1-4 de 4
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Categorized dietotype emergence by exploratory factorial analyses with axial nutrition–health precision potential
(MDPI, 2024)Introduction: Dietary habits and healthy lifestyles are crucial factors impacting cardiometabolic health and quality of life. Precision nutrition has emerged as a valuable tool to monitor the multiple factors participating ... -
Development of computational algorithmics using biochemical data to predict dietary habits: insights from the dietary deal study
(Elsevier, 2024)Objectives: Assessing dietary intake and understanding the underlaying contributions to health is crucial from achieving metabolic wellbeing. Traditional methods to measure food intake such as food questionnaires and dietary ... -
Nutritional and lifestyle features in a mediterranean cohort: an epidemiological instrument for categorizing metabotypes based on a computational algorithm
(MDPI, 2024)Background and Objectives: Modern classification and categorization of individuals’ health requires personalized variables such as nutrition, physical activity, lifestyle, and medical data through advanced analysis and ... -
Translational algorithms for technological dietary quality assessment integrating nutrimetabolic data with machine learning methods
(MDPI, 2024)Recent advances in machine learning technologies and omics methodologies are revolutionizing dietary assessment by integrating phenotypical, clinical, and metabolic biomarkers, which are crucial for personalized precision ...
