A literature review: machine learning-based stem cell investigation.

ABSTRACT:

Background and objective

Stem cell (SC) is a crucial factor of the human organ that is significantly important for clinical solutions. However, consideration of SC in the therapeutic or disease classification process is complex in terms of accurate classification and prediction. To overcome this issue, Machine learning (ML) is the most effective technique that is frequently used in cell-based clinical applications for diagnosis, treatment, and disease identification. Recently it has been implemented for SC observation which is a crucial factor for clinical solutions. Thus, the objective of this review work is to represent the effectiveness of ML techniques for SC observation from clinical perspectives with current challenges and future direction for further improvement.

Methods<

SUBMITTER: Ara J 

PROVIDER: S-EPMC11193562 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature