ReviewWorld journal of stem cells2025
Applications of artificial intelligence in stem cell therapy.
Review in World journal of stem cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Cell-based therapies of autoimmune diseases in the context of artificial intelligence development.Clinical and experimental medicine · 2026Review
- Stem cell-based therapies in pediatric disorders: translational advances, unresolved challenges, and future horizons.Stem cell research & therapy · 2026Review
- From monolayer to organoids and multi-organ microphysiological systems: advancing regenerative medicine and precision therapies.Stem cell research & therapy · 2026Review
- Revolutionizing Stem Cell Sorting with Machine Learning: A Review of Trends, Tools, and Future Directions.Iranian journal of medical sciences · 2026Review
- Machine Learning in Stem Cell Research: From Biological Data to Clinical Translation.Computational and structural biotechnology journal · 2026Review
- Multifunctional nanoplatforms for optic nerve regeneration integrating anti-inflammatory, epigenetic, and ionic mechanisms with emerging artificial intelligence technologies.Cell biology and toxicology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stem cell therapy holds great promise for the regeneration and repair of damaged tissues and organs. Stem cell therapy has been successfully applied to treat diseases that cannot be cured with conventional medicine. A careful evaluation of the outcomes is required for successful implementation of stem cell therapy. Recently, artificial intelligence (AI) has opened new avenues for research in the stem cell therapy field. The integration of AI can assist in evaluating the quality, efficiency and safety of stem cells by analyzing available data. It has the potential to improve and accelerate progress in various aspects of stem cell research and therapeutic applications. AI is still in its infancy and has certain limitations, such as algorithm validation problems, inadequate data availability, poor data quality, and ethical considerations. Considering the potential of AI to improve stem cell research and therapeutics, this review aims to explore applications of AI in understanding stem cell behavior, identification and characterization, optimization of the delivery methods, stem cell modeling and prediction of mortality risk. In addition, this review highlights the role of AI, machine learning, deep learning, and other subtypes in advancing stem cell biology research. This review also discusses the current limitations, ethical considerations, and future prospective of use of AI in stem cell research and therapeutic applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.