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Mr Nick van Osta

Cardiovascular Research Institute Maastricht (CARIM), Maastricht (Netherlands (The))
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Biography
Nick van Osta graduated from the Technical University Eindhoven in 2017 with a master in Biomedical Engineering. He obtained his PhD at the Department of Biomedical Engineering (Maastricht University) under the supervision of Prof. Joost Lumens and Prof. Tammo Delhaas. During his PhD, he worked on important aspects of patient-specific modelling. He developed a modelling framework which can estimate tissue properties based on clinical deformation measurements in patients with arrhythmogenic cardiomyopathy using the CircAdapt model – a model of the cardiovascular system. As of November 2021, he continued his career as a platform scientist at the Department of Biomedical Engineering (Maastricht University) to further explore the applicability of the Digital Twin approach.
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Contributor content

Digital health-digital twin: in-silico phenotyping for delivering precision medicine
Presentation
Digital health-digital twin: in-silico phenotyping for delivering precision medicine
Evolution of right ventricular tissue abnormalities in early-stage Arrhythmogenic Cardiomyopathy: an imaging-based patient-specific modeling study
Presentation
Evolution of right ventricular tissue abnormalities in early-stage Arrhythmogenic Cardiomyopathy: an imaging-based patient-specific modeling study
Arrhythmogenic cardiomyopathy is characterized by apex-to-base heterogeneity of right ventricular myocardial contractility, stiffness, and mechanical delay: a patient-specific modeling study
Presentation
Arrhythmogenic cardiomyopathy is characterized by apex-to-base heterogeneity of right ventricular myocardial contractility, stiffness, and mechanical delay: a patient-specific modeling study
Arrhythmogenic cardiomyopathy is characterized by apex-to-base heterogeneity of right ventricular myocardial contractility and stiffness: an imaging-based patient-specific modeling study
Presentation
Arrhythmogenic cardiomyopathy is characterized by apex-to-base heterogeneity of right ventricular myocardial contractility and stiffness: an imaging-based patient-specific modeling study
Characterization of right ventricular electromechanical tissue substrates in arrhythmogenic cardiomyopathy: a patient-specific modelling approach
Presentation
Characterization of right ventricular electromechanical tissue substrates in arrhythmogenic cardiomyopathy: a patient-specific modelling approach

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