Faculty Presentation
Title: Statistical Modeling of Degradation Data in Tissue-
Engineered Scaffold Fabrication
Presenter: Dr. Xinwei Deng, Department of Statistics
Research group: Deng Lab
In tissue-engineered scaffold fabrication, the degradation of scaffolds is a critical issue because it needs to match with the rate of new tissue formation in the human body. However, scaffold degradation is a very complicated process, making degradation regulation a challenging task. To provide a scientific understanding on the degradation of scaffolds, we proposed several novel constrained statistical models for the degradation data. The proposed models characterize both scaffold degradation profiles and effects of process parameters on the degradation. Moreover, the proposed methods are also flexible to incorporate expert knowledge in the modeling through meaningful constraints, leading to insightful inference on scaffold degradation. The performance of the proposed methods is illustrated by a case study from a tissue- engineered scaffold fabrication process.