Statistical shape models & simulation
Predict the performance of medical devices with virtual patient cohorts
In collaboration with
Virtual Patient Cohorts
Benefit from our collaboration with Materialise: Create synthetic cohorts based on statistical shape models, simulate and optimize your products
Patients come in all shapes and sizes. It is important for medical device manufacturers to understand the different shapes and sizes when creating a new implant or medical device.
With our physics-based modeling and the statistical shape models of Materialise we can help you to optimize your implants or product family in the entire virtual target population to investigate how these anatomical shape variations may affect the performance and safety of your device. In addition, identify the potential for design optimization and material selection by conducting parameter analyses.
covered without virtual patients
of ethnicities, gender and age potentially covered with virtual patient cohorts
How to benefit from Virtual Patients?
Virtual Patient Cohorts at a glance
Target: Combine statistical shape models with physics based simulation
- Expand product range and indications
- Create digital evidence to support preclinical studies (IDE)
- Supporting / augmenting (pre-)clinical studies with objective data
- Show the device performance in the patient
- Comparative studies: comparison with the predicate product
- Responding to requests from regulatory authorities
Articles & publications
https://simq.de/glossar/sleep-apnea/
- Research Article
Application of patient-specific simulation workflow for obstructive sleep apnea diagnosis and treatment with a mandibular advancement device
International Journal for Numerical Methods in Biomedical Engineering
- Research Article
Experimental study on the influence of model variations on the airway occlusion of an obstructive sleep apnea patient
Journal of Biomechanics
