Verifying, Validating, and Quantifying Uncertainty: Sano’s VVUQ in GEMINI

Engineering reliable digital twins for stroke medicine

GEMINI (A Generation of Multi-scale Digital Twins of Ischaemic and Haemorrhagic Stroke Patients) is a Horizon Europe project that aims to create patient-specific, multi-organ, and multi-scale Digital Twins of stroke. These digital models will support personalised treatment decisions and improve outcomes for stroke patients.

VVUQ (Verification, Validation and Uncertainty Quantification) work package is led by Sano Centre for Computational Medicine. It focuses on ensuring that GEMINI models are robust, trustworthy, and reliable by systematically verifying their implementation, validating them against experimental and clinical data, and quantifying uncertainties.

During the recent project review, our effort was evaluated very positively by the reviewers, who stated:

“Very good progress again made in this WP. VVUQ planning is extensive and deliverables well written. I would highly recommend independent outputs from this WP as to how to plan VVUQ (guidelines/frameworks) as this will greatly aid the overall VHT community.”

This work and preliminary VVUQ studies will hopefully be published in the future to share our VVUQ approach in GEMINI project with the wider scientific community.

Authored by Karol Zając