ReviewStem cell reports2025
The ethical aspects of human organ-on-chip models: A mapping review.
Review in Stem cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Reverse bioengineering of the liver: developmental principles for next-generation liver-on-a-chip systems.Communications biology · 2026Review
- Emerging organoids and organoids-on-chip platforms for translational development of antibody‒drug conjugates and next-generation bioconjugates.Acta pharmaceutica Sinica. B · 2026Review
- Recent advances in sex-specific reproductive microphysiological systems for the systematic evaluation of assisted reproductive technology.Materials today. Bio · 2026Review
- Diversity-in-a-dish: A practical framework for hiPSC model development.Stem cell reports · 2026Review
- Lab-on-a-Chip and Microfluidics Technologies for Nano Drug Delivery.Bioengineering (Basel, Switzerland) · 2026Review
- Next-Generation Joint-on-a-Chip: Toward Precision Mechanical Control in Multi-Tissue Systems.Nano-micro letters · 2026Review
- Patient-derived organoids in gastric cancer: bridging the tumor microenvironment to functional precision oncology.Frontiers in bioengineering and biotechnology · 2026Review
- Application and prospects of organoid-on-a-chip in research on the intestinal mucosal barrier.Burns & trauma · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Organ-on-chips (OoCs) are controlled microfluidic platforms that replicate specific organ-level functionalities and pathological processes using cultured cells. OoCs promise to enhance drug discovery, reduce dependence on animal models, and enable personalized treatments. However, OoCs also introduce ethical challenges. This article provides a mapping review of the philosophical and ethical issues associated with developing and using OoCs. Given the limited literature on OoC ethics, the review takes a comparative analytical approach, drawing on organoid, digital twin, and precision medicine literature. Ethical issues are categorized across three consecutive phases-research, clinical testing, and implementation. Nine key themes are identified: privacy and confidentiality, informed consent, evidence, ontology and moral status, animal experimentation, evidence standards, patient care, intellectual property and commercialization, and distributive justice. Overall, the review highlights several key challenges that require further normative inquiry and hold significance for both research and policy. These include underrepresented groups in OoC research, complexities and limitations related to different consent models, the need for clear criteria to determine evidence standards for replacing animal models, accountability in the standardization of OoC research, and sustainability.
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.