Clinical level agent-based model of pathological airway remodeling in asthma

The following
contains information regarding the uploaded agent-based model capturing asthma
pathogenesis in a virtual human airway to make clinical-level predictions. This
model was developed considering a Strahler Order 3 airway and is based on
interactions between the epithelial, mesenchymal, and inflammatory elements of
an airway. Pathological remodeling during asthma in this model, therefore,
emerges as a result of dynamic interplay between these elements across multiple
spatial and temporal scales. The model was developed to be drug agnostic and
used to predict the impact of two drugs, with different pharmacodynamics, on
the muscle mass of the virtual airway with severe asthma. Model outcomes were
validated by comparing against clinical data and in vitro studies.

本数据集包含了关于上传的基于智能体模型的信息，该模型模拟了虚拟人类气道中的哮喘发病机制，并用于临床级别的预测。该模型在构建时考虑了Strahler第三级气道结构，并基于气道上皮、间质和炎症成分之间的相互作用。因此，在该模型中，哮喘期间的病理重塑表现为这些成分在多个空间和时间尺度上动态互动的结果。该模型旨在实现药物无特异性，并用于预测两种具有不同药代动力学的药物对严重哮喘的虚拟气道肌肉质量的影响。模型的结果通过将临床数据和体外研究进行比较进行了验证。