Related Experiment Video
Updated: Aug 19, 2026
Experimental Approaches to Tissue Engineering
Published on: August 30, 2007
Applying informatics in tissue engineering
Jie Xu1, Xiaolin Zhou, Daping Yang
1Department of General Surgery, The Shanghai Tenth People's Hospital of Tongji University, Shanghai, PR China. wwwdbwww@163.com
Objective:
To facilitate tissue engineering strategies determination with informatics 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 the outcomes of tissue engineering strategies with the predictive 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.
