Transforming Brain Organoids Into Functional Platforms: Convergence of Engineering, Imaging, AI, and Ethics.

Aishwarya Pantula, Kaustubh Joshi, Swarangi Samant, Greta Babakhanova, Annie Kathuria

Abstract read

In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

5 authors.

Aishwarya PantulaDepartment of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-2516-3485

Kaustubh JoshiDepartment of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0009-0004-2604-4930

Swarangi SamantDepartment of Biotechnology, Advanced Academic Programs, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, Maryland, USA.

Greta BabakhanovaBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.ORCID https://orcid.org/0000-0002-5027-5673

Annie KathuriaDepartment of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0009-0000-6526-8217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain organoids are self-organizing 3D aggregates derived from pluripotent stem cells and thus mirror many aspects of human brain development, including gene expression programs, spatial organization, and neuron subtype specification. As a result, these organoids have been used to emulate neurodevelopmental, neuropsychiatric, and neurodegenerative diseases. Yet, their maturation remains fundamentally constrained by diffusion-limited necrosis, incomplete vascularization, limited visualization, and the absence of large-scale circuit integration, which collectively prevent progression beyond the fetal stage. These intrinsic limitations have catalyzed a convergence across microfluidics, biofabrication, imaging, and ethical frameworks, giving rise to a multidisciplinary movement aimed at enhancing organoid viability, reproducibility, and physiological relevance. This perspective examines how these technologies are transforming brain organoids from developmental models into experimentally robust, functional platforms.

Indexed as

AI and ethicsbrain organoidsmicrophysiological systemsmultiomicsorganoid‐on‐a‐chip

Identifiers

PMID42808604

DOI10.1002/advs.202523506

PMCPMC13621883

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.