Patient-specific predictive cardiovascular modelling

Project: Research

Project Details

Description

Management of heart failure and other forms of acquired heart disease is today based guidelines on population means derived in clinical trials. It is a one-size fits all paradigm where all patients are treated the same way.

The project aim is to develop and provide predictive patient-specific cardiovascular models that allows the physicians to plan and optimize medical or surgical treatment strategies for each patient. In addition, the modelling approach will allow to compute biomarkers such as stroke work, cardiac efficiency, and wall tension that previously have only been available invasively.The cardiovascular model will be formulated on a novel mechanistic conservative form, at a detail level directly accessible for imaging. The model will be made patient-specific by adapting the model as a multi-value optimization problem where the model output is compared to actual measurements from imaging and other diagnostic testing. A unique aspect of the model adaptation is the mathematical formulation with a feedback loop that learns patient-specific behaviour.A successful implementation of the project will empower clinicians with tools to optimize treatment for the individual patient. Novel modelling based biomarkers has a potential to significantly improve randomized clinical trials for heart failure. After the project completion
StatusFinished
Effective start/end date2018/01/012022/12/31

Funding

  • Swedish Research Council
  • The Swedish Heart Lung Foundation