Applying informatics in tissue engineering.
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.


CONCLUSIONS
Informatics is beneficial for realizing safe, effective and economical tissue engineering.
Xu
Jie
J
Department of General Surgery, The Shanghai Tenth People's Hospital of Tongji University, Shanghai, PR China. wwwdbwww@163.com
Zhou
Xiaolin
X
Yang
Daping
D
Ge
Haiyan
H
Wang
Qi
Q
Tu
Kang
K
Guo
Tiefang
T
D001185:Artificial Intelligence; D002681:China; D003628:Database Management Systems; D006801:Humans; D008490:Medical Informatics; D016571:Neural Networks, Computer; D023822:Tissue Engineering