Applying informatics in tissue engineering

作者：Xu, J^*; Zhou, XL; Yang, DP; Ge, HY; Wang, Q; Tu, K; Guo, TF

来源：Methods of Information in Medicine, 2005, 44(1): 38-43.

• tissue engineering
• informatics
• database
• artificial intelligence
• machine learning

Objective: To facilitate tissue engineering strategies determination with information tools.
Methods: Firstly, tissue engineering experimental data were standardized and integrated into a centralized database; secondly, we used data mining tools (e.g. artificial neural networks and decision trees) to predict the outcomes of tissue engineering strategies; thirdly, a strategy design algorithm was developed, and its efficacy was validated with animal experiments; lastly, we constructed an online database and a decision support system for tissue engineering.
Results: The artificial neural networks and the decision trees respectively predicted accuracy of 95.14% and 85.26%. Following the strategies generated by computer, we cured 18 of the 20 experimental animals with a significantly lower cost than usual.
Conclusion: Informatics is beneficial for realizing safe, effective and economical tissue engineering.

• 出版日期2005
• 单位同济大学; 上海交通大学; 哈尔滨医科大学