MIRACLE
MIRACLE Project summary
Demographic changes induce an ever-higher burden on the healthcare system. Early detection of complications and diseases and the determination of effective personalized treatments are essential to lower this burden, to prevent comorbidities, and to lower healthcare costs while simultaneously improving patient outcome and quality of life. The MIRACLE project seeks to leverage technological advances in pathophysiological modelling, unobtrusive sensing, monitoring and artificial intelligence (AI) towards this end.
Multi-parametric sensing methods will be developed to optimize patient transition indications and perform rapid infection screening in newborns; electrophysiological, photoplethysmographic and video monitoring methods will be enhanced to assess sleep disordered breathing conditions, predict arrhythmias, diagnose parasomnias, and help guide delivery; biomechanical and hemodynamic models of deep venous disease will be developed as a basis for novel diagnostic and interventional tools; photoacoustic techniques will be developed to reliably image vulnerable carotid plaques; AI-based prediction models will be developed to optimize perfusion during cardiopulmonary bypass; and wearable technology will be optimized for peri-operative and sleep monitoring applications.
The general approach in MIRACLE is to explore and co-create novel technological solutions in a controlled clinical environment, to subsequently refine and validate them and where appropriate transfer them to extramural and at-home settings, towards deployment in the healthcare system with the aim to increase effectiveness at lower costs in combination with lower patient burden and higher patient quality of life.
Research references:
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