Evidence map›Paper›PMID 42329464›Full record

ReviewJournal of artificial organs : the official journal of the Japanese Society for Artificial Organs2026

Engineering brain organoids: from neurodevelopmental modeling to translational barriers.

Yusuke Nishimura

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Yusuke NishimuraDepartment of Medical Technology and Clinical Engineering, Faculty of Medical Technology and Clinical Engineering, Gunma University of Health and Welfare, 191-1 Kawamagari-cho, Maebashi City, Gunma, 371-0823, Japan. y-nishi@kitasato-u.ac.jp.ORCID http://orcid.org/0000-0003-4354-7690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain organoids have progressed from simple three-dimensional neuroepithelial aggregates to increasingly sophisticated systems that recapitulate key aspects of human neurodevelopment and disease. Despite rapid biological advances, their translational potential remains constrained by challenges in maturation, vascular integration, reproducibility, and scalable standardization. Recent innovations, including microfluidic perfusion platforms, synthetic extracellular matrices, vascularization strategies, and modular assembloid assembly, illustrate a shift from descriptive modeling to functionally integrated and experimentally controllable neural systems. However, increasing biological complexity introduces ethical and regulatory considerations that must be incorporated into translational research frameworks. These advances provide new opportunities to investigate human-specific developmental mechanisms and bridge the gap between in vitro modeling and in vivo neurobiology. Future progress will depend on balancing two complementary objectives: enhancing biological fidelity and improving experimental utility through increasingly controllable and design-driven organoid platforms with defined architecture, functionality, and reproducibility. In this context, brain organoids are emerging as bioengineered neural tissue systems that share important conceptual and technological foundations with next-generation artificial organ technologies. Continued advances in bioengineering, standardization, and systems-level integration are essential to maximize their translational impact on disease modeling, therapeutic testing, and regenerative neuroscience.

Indexed as

BrainOrganoidsTissue EngineeringAnimalsHumansNeurodevelopmentTranslational Research, BiomedicalBioethicsBrain organoidsDisease modelingMicroglia integrationVascularization

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.