Evidence map›Paper›PMID 35762203›Full record

ArticleeLife2022

Robotic search for optimal cell culture in regenerative medicine.

Genki N Kanda, Taku Tsuzuki, Motoki Terada, Noriko Sakai, Naohiro Motozawa, Tomohiro Masuda, Mitsuhiro Nishida, Chihaya T Watanabe, Tatsuki Higashi, Shuhei A Horiguchi and 9 more

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
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  7. A Guide to Bayesian Optimization in Bioprocess Engineering.Biotechnology and bioengineering · 2026
    Review
  8. Review
  9. Review
  10. Review
  11. Heart Regeneration for Clinical Application.Internal medicine (Tokyo, Japan) · 2026
    Review
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  16. Article
  17. Review
  18. Organoid bioprinting to pattern the matrix microenvironment.Current opinion in biomedical engineering · 2025
    Article
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  20. Review
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

19 authors.

Genki N Kanda *Laboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.ORCID 0000-0002-6372-241X
Taku Tsuzuki *Epistra Inc., Tokyo, Japan.
Motoki TeradaLaboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Noriko SakaiLaboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Naohiro MotozawaLaboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Tomohiro MasudaLaboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Mitsuhiro NishidaLaboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Chihaya T WatanabeEpistra Inc., Tokyo, Japan.
Tatsuki HigashiEpistra Inc., Tokyo, Japan.
Shuhei A HoriguchiEpistra Inc., Tokyo, Japan.ORCID 0000-0002-8459-1914
Taku KudoRobotic Biology Institute Inc., Tokyo, Japan.
Motohisa KameiRobotic Biology Institute Inc., Tokyo, Japan.
Genshiro A SunagawaLaboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Kenji MatsukumaRobotic Biology Institute Inc., Tokyo, Japan.
Takeshi SakuradaEpistra Inc., Tokyo, Japan.
Yosuke OzawaEpistra Inc., Tokyo, Japan.
Masayo TakahashiLaboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Koichi TakahashiLaboratory for Biologically Inspired Computing, RIKEN Center for Biosystems Dynamics Research, Osaka, Japan.
Tohru NatsumeRobotic Biology Institute Inc., Tokyo, Japan.ORCID 0000-0002-1510-2582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Induced differentiation is one of the most experience- and skill-dependent experimental processes in regenerative medicine, and establishing optimal conditions often takes years. We developed a robotic AI system with a batch Bayesian optimization algorithm that autonomously induces the differentiation of induced pluripotent stem cell-derived retinal pigment epithelial (iPSC-RPE) cells. From 200 million possible parameter combinations, the system performed cell culture in 143 different conditions in 111 days, resulting in 88% better iPSC-RPE production than that obtained by the pre-optimized culture in terms of the pigmentation scores. Our work demonstrates that the use of autonomous robotic AI systems drastically accelerates systematic and unbiased exploration of experimental search space, suggesting immense use in medicine and research.

Indexed as

Induced Pluripotent Stem CellsRobotic Surgical ProceduresBayes TheoremCell Culture TechniquesCell DifferentiationRegenerative MedicineRetinal Pigment Epitheliumbayesian optimizationcomputational biologyhumaniPS cellLabDroidlaboratory automationregenerative medicineretinal pigment epitheliumstem cellssystems biology

Identifiers

PMID35762203
PMCPMC9239686

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.