Development of a data-driven personalized model for human glucose homeostasis through a digital web-based application powered by wearable sensors.

For survival of human beings is essential the homeostasis of glycemia that is influenced by macronutrients in the diet, physical activity, chewing and others. About macronutrients, it is known that the quantity of carbohydrates increases blood sugar. Regard human chewing, it is a complex act involving different structures which simultaneously combines shredding and lubrication of food. An accurate chewing resulted in a lower values of postprandial plasma glucose and concentrations of YY peptide and GLP-1. About physical activity, glucose levels differ based on the duration and the intensity of the exercises. We collect data about glucose levels using wearable device; masticatory habits using Chewing, an electromyographic device developed in our lab; and dietary, anthropometric, and physical activity data integrated in ArMOnIA, a digital web-based application developed by our lab. Then, accurate models are built to quantify the individual responses of the endocrine systems in view of projecting a personalized model of metabolism. This approach provides correct clues to empower citizens with scientific knowledge, increasing their self-awareness to pursue a healthy lifestyle.