This invention relates to the field of
cell regulation technology and discloses a multi-parameter feedback-based intelligent regulation method for Chir99021-induced differentiation of
dental pulp stem cells. The method includes: acquiring a dataset of the differentiation process of
dental pulp stem cells and performing
structured analysis to obtain a multi-parameter monitoring dataset; performing multi-dimensional assessment of
cell differentiation status to obtain a differentiation
status assessment characterization; obtaining
drug release regulation parameters based on the differentiation
status assessment characterization and historical differentiation trend data; performing multi-dimensional planning on the differentiation
status assessment characterization and
drug release regulation parameters to obtain a regulation strategy, and encoding and reconstructing the regulation strategy to obtain microenvironment regulation instructions; applying the microenvironment regulation instructions to obtain an optimized culture microenvironment and monitoring
cell state information in the optimized culture microenvironment; and iteratively regulating the
drug release regulation parameters based on the
cell state information to obtain the final regulation instructions. This invention can improve the accuracy of Chir99021-induced differentiation regulation of
dental pulp stem cells.