Evidence map›Paper›PMID 38646471›Full record

ArticleMedicine in novel technology and devices2024

Organoid intelligence: Integration of organoid technology and artificial intelligence in the new era of in vitro models.

Huaiyu Shi, Andrew Kowalczewski, Danny Vu, Xiyuan Liu, Asif Salekin, Huaxiao Yang, Zhen Ma

Abstract read
In one paragraph

Article in Medicine in novel technology and devices, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–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

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Human cardiovascular organoids: Biomedical applications and ethical challenges.American heart journal plus : cardiology research and practice · 2026
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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

7 authors.

Huaiyu ShiDepartment of Biomedical & Chemical Engineering, Syracuse University, Syracuse, NY, USA.
Andrew KowalczewskiDepartment of Biomedical & Chemical Engineering, Syracuse University, Syracuse, NY, USA.
Danny VuDepartment of Biomedical & Chemical Engineering, Syracuse University, Syracuse, NY, USA.
Xiyuan LiuDepartment of Mechanical & Aerospace Engineering, Syracuse University, Syracuse, NY, USA.
Asif SalekinDepartment of Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY, USA.
Huaxiao YangDepartment of Biomedical Engineering, University of North Texas, Denton, TX, USA.
Zhen MaDepartment of Biomedical & Chemical Engineering, Syracuse University, Syracuse, NY, USA.

Funding

Establishing an In Vitro Embryotoxicity Risk Classification System Based on Human Cardiac Organoid ModelR01HD101130 · NICHD · SYRACUSE UNIVERSITY · PI MA, ZHEN · 2020 to 2025
$2.3M
NOTCH signaling on the underdeveloped cardiac vascularization of hypoplastic left heart syndrome in the hiPSC-derived vascularized cardiac organoidsR15HD108720 · NICHD · UNIVERSITY OF NORTH TEXAS · PI YANG, HUAXIAO · 2022 to 2022
$438k
NICHD NIH HHS R01 HD101130NICHD NIH HHS R15 HD108720
6 · The paper itself

Abstract

Organoid Intelligence ushers in a new era by seamlessly integrating cutting-edge organoid technology with the power of artificial intelligence. Organoids, three-dimensional miniature organ-like structures cultivated from stem cells, offer an unparalleled opportunity to simulate complex human organ systems in vitro. Through the convergence of organoid technology and AI, researchers gain the means to accelerate discoveries and insights across various disciplines. Artificial intelligence algorithms enable the comprehensive analysis of intricate organoid behaviors, intricate cellular interactions, and dynamic responses to stimuli. This synergy empowers the development of predictive models, precise disease simulations, and personalized medicine approaches, revolutionizing our understanding of human development, disease mechanisms, and therapeutic interventions. Organoid Intelligence holds the promise of reshaping how we perceive in vitro modeling, propelling us toward a future where these advanced systems play a pivotal role in biomedical research and drug development.

Indexed as

Artificial intelligenceDeep learningMachine learningOrganoidsStem cells

Identifiers

PMID38646471
PMCPMC11027187

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.