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Jie Xu, Xiaolin Zhou, Daping Yang, Haiyan Ge, Qi Wang, Kang Tu, Tiefang Guo

Applying Informatics in Tissue Engineering

Keywords: Tissue engineering, informatics, database, Artificial Intelligence, Machine Learning

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.

Methods of Information in Medicine, Schattauer

Print ISSN: 0026-1270
Volume: 44, 01/2005
Pages: 38 - 43

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