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The recording is now available for viewing: Video Link | Audio only Link.
Q&A not recorded during webinar January 18, 2024 webinar:
- Given that there's a large amount of qualitative or semi-quantitative (e.g. inflammation increases during illness) data available in biological systems, do you think there is potential to incorporate it into digital twins?
- Are there any differences to existing data management protocols that need to be made after the addition of digital twin data?
Chapters 4 and 5, particularly Tables 4- 1 and 5-1 of the draft report addresses gaps(e.g., undersampling), needs (standards and governance) and opportunities related to data acquisition and data flows with the DT that are relevant to questions 1 and 2.
- What should be the general framework of DT being representative of a population with validation and uncertainty quantification while application is on the individuals? Does the uncertainty account for this?
The intent of DT is predictive and if the predictive intent is individual then the DT VVUQ would need to encompass that.
- There is a threshold on the uncertainty beyond which the DT would not be useful?
It is essential to retain the essential notion of “fit for purpose” when considering VVUQ role in DT elements (physical counterpart, virtual representation, bidirectional workflows, decision support). Thus, the breadth of the questions challenges a succinct response. For example, for question 4, the threshold for UQ is dependent on the purpose of the DT and may change as the purpose is altered.