Predicting degradation rate of genipin cross-linked gelatin scaffolds with machine learning. [electronic resource]

By: Contributor(s): Producer: 20200728Description: 110362 p. digitalISSN:
  • 1873-0191
Subject(s): Online resources: In: Materials science & engineering. C, Materials for biological applications vol. 107
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Publication Type: Journal Article

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