Artificial Intelligence at Healthcare PRAESIIDIUM
PRAESIIDIUM project to prevent prediabetic risk in real timeThe incidence of undiagnosed diabetes affects a high proportion of citizens: 36% of European adults. However, prediabetes is a condition that can be reversed without prescription drugs. The answer is to be found in mathematical models that simulate the person’s metabolism, the hormone production of the pancreas, the metabolites of the microbiome, the inflammatory process and the response of the immune system.
- The project aims to develop a prototype for real-time prediabetic risk prediction based on multi-scale and multi-organ mathematical models.
- The predictive algorithm is based on a rich training dataset resulting from the patient’s family history, clinical data and a multi-centre pilot study in which the patient will be fitted with wearable sensors to monitor glucose, heart rate, bi-compendence etc.
- The estimated risk index will include, for each case, an early indication of health conditions that may lead to an imminent risk of pre-diabetes.