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Predicting degradation rate of genipin cross-linked gelatin scaffolds with machine learning

Entekhabi, E; Nazarpak, MH; Sedighi, M; Kazemzadeh, A

Nazarpak, MH (corresponding author), Amirkabir Univ Technol, NTRC, Tehran, Iran.

MATERIALS SCIENCE & ENGINEERING C-MATERIALS FOR BIOLOGICAL APPLICATIONS, 2020; 107 ():

Abstract

Genipin can improve weak mechanical properties and control high degradation rate of gelatin, as a cross-linker of gelatin which is widely used in tiss......

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