Digital Twin for Healthcare and Lifesciences

2Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Health Digital Twins (HDT) can bring a decisive contribution to personalized, precise, successful medical treatments. They will rely on combining the latest fundamental knowledge from research with a patient’s exact history and unique physiology. First use cases of HDT have been developed in the last decade in specific domains, with the examples of Living Heart and Living Brain. They will extend to other domains, such as cell models, microbiota or patient cohorts, and support multi-discipline and multi-scale platforms. HDT will soon cover all medical disciplines and the whole patient journey, powering the next-generation medical practices, precision medicine and surgery, and allowing for improved patient autonomy – towards better health for all.

Cite

CITATION STYLE

APA

Johnson, P., Levine, S., Bonnard, C., Schuerer, K., Pécuchet, N., Gazères, N., & D’Souza, K. (2023). Digital Twin for Healthcare and Lifesciences. In The Digital Twin (Vol. 2, pp. 1023–1044). Springer International Publishing. https://doi.org/10.1007/978-3-031-21343-4_32

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free