All physiological models are simplifications of reality, but many models can be diagnostic and predictive and/or can improve our understanding of (patho)physiology. In this seminar I will review some of the challenges associated with personalisation and interpretation of local and systems models for the purposes of clinical decision support. Illustrations will include applications in:

• coronary Fractional Flow Reserve from angiographic images
• heart valve disease (the EurValve project)

Emphasis will be focused on the challenges of assimilation and interpretation of the data that is likely to be available in a normal clinical pathway, and on the computational challenges that might underpin model development and delivery.