|
26-26 Sep 2025 PARIS (France)
|
|
Digital twins for health and medical research An INSERM webinar in partnership with the International Research Data Alliance, the RDA
In the field of healthcare and medical research, digital twins are virtual representations of physical entities such as patients, organs or even entire healthcare systems. These digital models are fed with real-time data that enable simulations and predictions to improve decision-making and patient care in general. Abstracts Les jumeaux numériques pour la santé, synthèse (Mark Asch)
In this general talk, we will discuss what a digital twin is, and how it can be used in biomedical research and practice. We will also.address the important place of large language models (LLMs) and point out several caveats related to their use. The subject of ethics must not be overlooked, and we will provide some pointers.
Inverse problems, Machine Learning and Digital Twins (Mark Asch)
In this more technical talk, we will address the theoretical underpinnings of digital twins. Digital twins can be seen as solutions of inverse problems, of which data assimilation is a special case. Using the underlying theory of these two, we can formulate and solve digital twins much more rigorously. In particular, we can take into account uncertainties and provide probabilistic predictions. Some simple examples will be presented to illustrate this approach.
Good books |
