Esophageal virtual disease landscape using mechanics-informed machine learning

@article{Halder2022EsophagealVD,
  title={Esophageal virtual disease landscape using mechanics-informed machine learning},
  author={Sourav Halder and Junichi Yamasaki and Shashank Acharya and Wenjun Kou and Guy Elisha and Dustin A. Carlson and Peter J. Kahrilas and John E. Pandolfino and Neelesh A. Patankar},
  journal={ArXiv},
  year={2022},
  volume={abs/2111.09993}
}
The pathogenesis of esophageal disorders is related to the esophageal wall mechanics. Therefore, to understand the underlying fundamental mechanisms behind various esophageal disorders, it is crucial to map the esophageal wall mechanics-based parameters onto physiological and pathophysiological conditions corresponding to altered bolus transit and supraphysiologic IBP. In this work, we present a hybrid framework that combines fluid mechanics and machine learning to identify the underlying… 

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