The impact of experimental designs & system sloppiness on the personalisation process: a cardiovascular perspective

This is a preprint and may not have undergone formal peer review

Saxton, H. orcid.org/0000-0001-7433-6154, Taylor, D.J., Faulkner, G. orcid.org/0009-0008-4155-9974 et al. (6 more authors) (Submitted: 2024) The impact of experimental designs & system sloppiness on the personalisation process: a cardiovascular perspective. [Preprint - bioRxiv] (Submitted)

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Item Type: Preprint
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© 2024 The Author(s). This preprint is made available under a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/)

Keywords: Cardiovascular Modelling; Personalised Medicine; Digital Twins; Sensitivity Analysis; Parameter Identifiability; Sloppy Systems
Dates:
  • Submitted: 10 December 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Infection, Immunity and Cardiovascular Disease
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Depositing User: Symplectic Sheffield
Date Deposited: 10 Jan 2025 10:00
Last Modified: 10 Jan 2025 10:00
Status: Submitted
Publisher: Cold Spring Harbor Laboratory
Identification Number: 10.1101/2024.12.05.627122
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
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Filename: Sloppy.pdf

Licence: CC-BY 4.0

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