Ex vivo working porcine heart models allow for the study of a heart's function and physiology outside the living organism. These models are particularly useful due to the anatomical and physiological similarities between porcine and human hearts, providing an experimental platform to investigate cardiac disease or assess donor heart viability for transplantation. This chapter presents an in-depth discussion of the model's components, including the perfusate, preload, and afterload.
View Article and Find Full Text PDFJ Pharmacokinet Pharmacodyn
April 2024
Efficiently finding covariate model structures that minimize the need for random effects to describe pharmacological data is challenging. The standard approach focuses on identification of relevant covariates, and present methodology lacks tools for automatic identification of covariate model structures. Although neural networks could potentially be used to approximate covariate-parameter relationships, such approximations are not human-readable and come at the risk of poor generalizability due to high model complexity.
View Article and Find Full Text PDFBackground: Existing working heart models for ex vivo functional evaluation of donor hearts often use cardiac afterloads made up of discrete resistive and compliant elements. This approach limits the practicality of independently controlling systolic and diastolic aortic pressure to safely test the heart under multiple loading conditions. We present and investigate a novel afterload concept designed to enable such control.
View Article and Find Full Text PDFCeliac disease is a chronic autoimmune enteropathy affecting about 1% of the population. Gluten ingestion triggers an immune response in genetically susceptible patients, resulting in intestinal and extraintestinal disease manifestations. Current recommendations for diagnosis include serology for celiac-specific antibodies to transglutaminase, endomysium, and deamidated gliadin, and IgA serology.
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