`Personalised digital twin
The project aims to build a personalised digital twin to predict the rise in blood sugar (glucose), but especially the rise in blood fat (triglyceride) in the blood after a meal. Both are indicators of the risk of cardiovascular disease. There are no sensors for monitoring blood fat like there are for glucose. Based on already collected blood fat data from 500 overweight middle-aged people, the team will work together with researchers with knowledge of Artificial Intelligence (AI) to create a digital model. The predictive capacity of this digital twin will be tested in a human study and then improved.
Alliance institutes involved: WUR
PI’s: Lydia Afman (Associate Professor at WUR)
More information: https://www.wur.nl/en/project/Me-my-diet-and-I-1.htm