Machine learning and statistical shape modelling for real-time prediction of stent deployment in realistic anatomies.

The rise in minimally invasive procedures has created a demand for efficient and reliable planning software to predict intra- and post-operative outcomes. Surrogate modelling has shown promise, but challenges remain, particularly in cardiovascular applications, due to the complexity of parametrising anatomical structures and the need for large training datasets. This study aims to apply statistical shape modelling and machine learning for predicting stent deployment in real time using patient-specific models.

Gene expression modulation in human aortic smooth muscle cells under induced physiological mechanical stretch.

In this study, we investigated gene expression in vitro of human primary Aortic smooth muscle cells (AoSMCs) in response to 9% physiological dynamic stretch over a 4 to 72-h timeframe using RT-qPCR. AoSMC were derived from primary culture and were exposed to continuous cycles of stretch and relaxation at 1 Hz by a computer-controlled Flex Jr.™ Tension System.

Biofeedback rehabilitation in children with encopresis due to retentive constipation using simple tools: a real-world study in a French paediatric centre.

This study aimed to describe the effectiveness of biofeedback (BFB) rehabilitation in children with retentive encopresis (RE). A retrospective, single-institution study was conducted in children with BFB sessions for RE between 2017 and 2020. Manometry data and associated envy scores were analysed.

Comparative analysis of Zero Pressure Geometry and prestress methods in cardiovascular Fluid-Structure Interaction.

Background And Objective: Modelling patient-specific aortic biomechanics with advanced computational techniques, such as Fluid-Structure Interaction (FSI), can be crucial to provide effective decision-making indices to enhance current clinical practices. To effectively simulate Ascending Thoracic Aortic Aneurysms (ATAA), the stress-free configuration must be defined. The Zero Pressure Geometry (ZPG) and the Prestress Tensor (PT) are two of the main approaches to tackle this issue.

A hybrid mock circulatory loop integrated with a LED-PIV system for the investigation of AAA compliant phantoms.

Background: Cardiovascular diseases remain a leading cause of morbidity and mortality worldwide and require extensive investigation through studies. Mock Circulatory Loops (MCLs) are advanced platforms that accurately replicate physiological and pathological hemodynamic conditions, while also allowing for precise and patient-specific data collection. Particle Image Velocimetry (PIV) is the standard flow visualization technique for studies, but it is costly and requires strict safety measures.