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Presentation:
Abstract
Engineering vascularized scaffold-based bone tissue holds great promise for regeneration and repair of large bone defects but remains a significant clinical problem. The utmost goal of this project is to address the challenges implicated in bone regeneration by integrating biological experiments material engineering, and multi-scale modeling to systematically optimize the bone regeneration. To achieve this, we have proposed three specific aims. In the first year, we developed an in vitro multiscale model for optimizing the temporal combination of growth factors to promote bone regeneration, and developed a prototype of the 3D predictive modeling of bone forming. In the model credibility plan, I will first briefly introduce our project, including the overview of the modeling system, and the specific interactions between the three aims. Then I will talk about the key components, the timeline and milestones of the model credibility plan. I will also introduce the major progress of the first project year. At last, I will describe the challenges and opportunities of the model credibility plan. The uniqueness of our model credibility plan, especially the special considerations built into the plan, will be mentioned also.
Model Credibility Plan
We have outlined strategies and metrics for evaluating the credibility of the proposed multiscale models to address the bone regeneration in vitro and in vivo. This includes performing verification, validation, uncertainty quantification and sensitivity analysis, as well as documenting model limitations.
The credibility assessment methods and metrics used will be both qualitative and/or quantitative; and will be accessible for use by a third party not on our team. Through the terms and conditions of the cooperative agreement provided by this RFA, we will work with the IMAG project scientists to identify appropriate groups in the MSM Consortium to perform an independent evaluation of the multiscale model as it is being developed. We provided a timeline at year 3-5 and personnel efforts for model evaluation. We will use this plan to substantiate why the proposed methods and metrics are appropriate to establish sufficient confidence in the multiscale models to answer the research questions of interest.
Criteria for evaluation for our models will also include adequacy, trustworthiness, authenticity, integrity, availability, documentation, and transparency. We will track the number of users, training of users, requests for services, successful use of our models, publications citing uses, numbers of students, use of training materials, and the ability to extend the utility of tools through collaborations with other investigators, among other metrics. The research community being served will be documented through mechanisms such as user feedback, letters of support, etc. We will set up evaluative measures for both short-term and long-term outcomes Quantifiable measures of intermediate results are important and will be built in as: short-term internal metrics for ongoing improvement; long-term objective metrics for gauging impact of use on the scientific field; and methods for assessment, such as user registration.
Speaker Bio
Dr. Xiaobo Zhou is a Professor of Radiology, Director of Center for Bioinformatics & Systems Biology, and core faculty of WFU-VT bioengineering, at WFU. He is an expert in the area of Bioinformatics, Imaging Informatics and Systems Biology.
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