Our goal is to develop novel model-based methods to identify the patient current state and predict patient response to changes in support pressure. Mechanical ventilation care is inconsistent, resulting in increased cost and mortality. The main problem is how to determine the lung status in real-time by an x-ray free (non-invasive) method, to better monitor and guide care. Previously UOC and HFU teams developed a wide range of unique, clinically validated pulmonary mechanics models to guide MV therapy. Our goal is to merge these virtual patient models with anatomically dense UOA models and create the first Virtual Patient Model of the human gas-exchange system. Thus DCPM will create, validate and optimise the first Virtual Patient Model of the human lung – including multi-scale lung mechanics model and identification methods – able to guide MV care. The results will be translated to clinical use by the assistance of BMKK and other associated hospitals.
Related DCPM results on the Publications page!
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 872488.