sepsis
Sepsis is a serious condition of infection and inflammation that can rapidly lead to tissue damage and organ failure. Detection and treatment are difficult, causing the condition to be fatal in many cases.
Digital Twin
A Digital Twin is a digital replica of a physical object. In this case we are developing a Digital Twin of a patient. This digital replica allows researchers to observe the patient in real time while simulating and predicting a the clinical outcome given different scenarios.
The patient Digital Twin will combine continuous vital sign data, biochemical data and model predictions to create a digital replica of the patient. This Digital Twin is a tool that provides the clinical team decision support.
FEATURES
Therapy
Optimize and personalize drug therapy in patients on the ICU.
Monitoring
Detect unusual patient progression and provide clinical decision support.
Modelling
Develope and use disease and patient models to simulate clinical outcomes.
About us
We are a collaboration between Eindhoven University of Technology, Erasmus Medical Center and Radboud University Medical Center. Our goal is to develop a patient Digital Twin that can be used to improve sepsis detection and management.
researchers
Matthijs Kox
Assistant Professor of Intensive Care Medicine
Natal van Riel
Professor of Biomedical Systems Biology
Menno Prins
Professor of Molecular Biosensing
Freek Relouw
PhD candidate
Birgit Koch
Professor of Clinical Pharmacometrics
Rob Taal
Pediatrician and Neonatologist
Talk to us
Have any questions? We are always open to talk about collaborations, new projects and other opportunities.
