Project MyDigiTwin is a national Big-Data research initiative where individuals can build a digital twin. This is accomplished through artificial intelligence using data derived from hundreds of thousands of people. The concept is that individuals input their own health data, for example, through an app. By linking this personal data with the data from individuals participating in long-term health studies, a picture of the personal health situation emerges. It is the first time that individuals can compare their personal health data with big-data reference data from multiple cohorts. Such a digital twin can assist individuals in the future to gain more precise insights into the likelihood of cardiovascular diseases. Additionally, such a digital twin can motivate someone to choose a healthier lifestyle.

In early November, we spoke to project leader Prof Emiel Krahmer and PhD candidate Saar Hommes from Tilburg University's Department of Communication & Cognition about this data2person project. Emiel is professor of Language, Cognition and Computation and focuses his research on gaining a better understanding of how people exchange information during communication, for example in a medical context. The current research has been running since 2018 and ends autumn 2023.

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