Machine learning to predict mesenchymal stem cell efficacy for cartilage repair.

ABSTRACT: Inconsistent therapeutic efficacy of mesenchymal stem cells (MSCs) in regenerative medicine has been documented in many clinical trials. Precise prediction on the therapeutic outcome of a MSC therapy based on the patient's conditions would provide valuable references for clinicians to decide the treatment strategies. In this article, we performed a meta-analysis on MSC therapies for cartilage repair using machine learning. A small database was generated from published in vivo and clinical studies. The unique features of our neural network model in handling missing data and calculating prediction uncertainty enabled precise prediction of post-treatment cartilage repair scores with coefficient of determination of 0.637 ± 0.005. From this model, we identified defect area percentage, defect de

SUBMITTER: Liu YYF 

PROVIDER: S-EPMC7571701 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature