WP4

Lead: Delft Univeristy of Technology

Objectives

1: Implement and validate efficient and scalable cross-talk of software codes.
2: Calibrate and personalise the new multi-scale/multi-organ models developed in WP2 using:
→ Static structural and functional personalisation from clinical image data (MRI/CT/Ultrasound)
→ Dynamic personalisation based on wearable system signals and biomarkers developed in WP3.
3: Validate the new multi-scale/multi-organ model developed in WP2 to:
→ Predict the patient-specific response to renal denervation for resistant hypertension
→ Predict cardiac response to Finerenone and Tafamidis treatment for patients with HFpEF
→ Optimise pacing strategy for HFrEF patients with various types of pacing devices
→ Simulate and optimise interventions for ASD
→ Study effects of ageing on multi-organ structure and function, both in health and disease. This will provide novel insights into how the body changes over time, and how these changes can contribute to disease.
4: Develop populations of thousands of virtual subjects (healthy and diseased) for the development of surrogate models and virtual human twins.
5: Streamline use of the complex multi-scale/multi-organ model by creating surrogate models for each organ, tailored to each disease, and coupling them to a computationally efficient circulatory system backbone.
6: Use coupled surrogate models in an efficient pipeline for model calibration to structural and functional data