King’s College London
Imaging Sciences and Biomedical Engineering
Multi-modal data fusion for biophysical modeling for patient-specific treatment of disease
Aim of project:
The goal of this work is to capture the multifactorial cause and effect relationships that typically link the disease mechanisms. To assist with treatment decisions, these models are used to derive of quantities that cannot be imaged but often play a key mechanistic role in disease such as tissue stress and pump efficiency.
A significant long-term goal of this work is to support a paradigm shift away from predefined clinical indices determining treatment options and a move towards true personalisation of care based on an individual’s specific physiology.
Keen to engage in:
Academic and commercial partners, collaborative funding projects, potential commercialisation collaborations, industry funded research, evaluation of new clinical tools, clinical trials