Evidence map›Paper›PMID 42102822›Full record

ReviewStem cell reports2026

Human organoids: Fit for drug discovery?

Annika Wittich, Kim Krieg, Philip Gribbon, Jakob J Metzger, Alessandro Prigione, Ole Pless

Abstract readReview
In one paragraph

Review in Stem cell reports, 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

6 authors.

Annika WittichFraunhofer Institute for Translational Medicine and Pharmacology ITMP, Discovery Research ScreeningPort, 22525 Hamburg, Germany.
Kim KriegFraunhofer Institute for Translational Medicine and Pharmacology ITMP, Discovery Research ScreeningPort, 22525 Hamburg, Germany.
Philip GribbonFraunhofer Institute for Translational Medicine and Pharmacology ITMP, Discovery Research ScreeningPort, 22525 Hamburg, Germany; EU-OPENSCREEN, Robert-Rössle-Street 10, 13125 Berlin, Germany.
Jakob J MetzgerMax Delbrück Center for Molecular Medicine (MDC), Quantitative Stem Cell Biology, 10115 Berlin, Germany.
Alessandro PrigioneDepartment of General Pediatrics, Neonatology and Pediatric Cardiology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Ole PlessFraunhofer Institute for Translational Medicine and Pharmacology ITMP, Discovery Research ScreeningPort, 22525 Hamburg, Germany. Electronic address: ole.pless@itmp.fraunhofer.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organoids are self-organizing three-dimensional (3D) in vitro tissues derived from pluripotent stem cells (PSCs) that recapitulate key structural and functional features of human organs. Their multicellular architecture and physiological relevance make them promising new approach methodologies (NAMs) for disease modeling, drug discovery, and toxicity testing. However, their reliability and scalability for compound screening remain under evaluation. This review summarizes current human PSC-derived organoid screening strategies, highlighting available readouts, related machine learning methods, and their potential advantages over traditional screening models. We also discuss major challenges, including assay robustness, throughput limitations, and the need for standardized protocols. Advancing validated and scalable approaches will be essential for integrating organoids into pharmaceutical development and improving the translational success of drug candidates.

Indexed as

Drug DiscoveryOrganoidsDrug Evaluation, PreclinicalHigh-Throughput Screening AssaysHumansPluripotent Stem Cellsassay developmentdrug discoveryhigh-throughput screeninghit validationhuman pluripotent stem cellsorganoidssmall moleculesthree-dimensional

Identifiers

PMID42102822
PMCPMC13261885

What OpenQuestion holds

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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 OpenQuestion graph.