Artificial intelligence and systems biology analysis in stem cell research and therapeutics development.

ABSTRACT:

Background

Stem cell research has rapidly advanced during the past decades, but the translation into approved clinical products is still lagging behind. Multiple barriers to effective clinical translation exist. We hypothesize that an ineffective use of the existing wealth of data from both product development and clinical trials is a crucial barrier that hampers effective clinical implementation of stem cell therapies.

Methods and results

Here, we summarize the contribution of systems biology (SysBio) and artificial intelligence (AI) in stem cell research and therapy development, to better understand and overcome these barriers to effective clinical translation. Advancements in cell product profiling technology, clinical trial design, and adjunct clinical monitoring, offer

SUBMITTER: Silva-Sousa T 

PROVIDER: S-EPMC12476622 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature