Virtual Digital Twins

Abstract

Healthy ageing and disease prevention depends on nutritional and lifestyle changes. Available evidence accentuates the influence of genetic, metabolic, and host gut microbiota characteristics on how individuals respond to each nutrient leading the way for the stratification of dietary guidelines. In recent days, state-of-the-art changes are pursued in therapeutic nutrition services integrating information and communication technologies (ICT) such as big data analytics, artificial intelligence (AI), and deep learning. Furthermore, we live in the ‘omics' era, where individuals' dietary needs can be tailored according to their gene pattern. Digital twin typifies virtual representation that provides real-time digital technology counterpart of a physical process or object. This chapter discusses how to converge genetic information with other biochemical parameters to conceptualize a digital replica of oneself that may well be a reference tool to guide personalized nutrition.