AI-enabled organoids: Construction, analysis, and application

Long Bai; Yan Wu; Guangfeng Li; Wencai Zhang; Hao Zhang; Jiacan Su

Bioactive Materials (Jan 2024)

AI-enabled organoids: Construction, analysis, and application

Long Bai,
Yan Wu,
Guangfeng Li,
Wencai Zhang,
Hao Zhang,
Jiacan Su

Affiliations

Long Bai: Department of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China; Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China; National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai, 200444, China; Wenzhou Institute of Shanghai University, Wenzhou, 325000, China
Yan Wu: Department of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China; Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China; National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai, 200444, China
Guangfeng Li: Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China; National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai, 200444, China; Department of Orthopedics, Shanghai Zhongye Hospital, Shanghai, 201941, China
Wencai Zhang: Department of Orthopedics, First Affiliated Hospital, Jinan University, Guangzhou, 510632, China; Corresponding author.
Hao Zhang: Department of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China; Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China; National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai, 200444, China; Corresponding author. Department of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
Jiacan Su: Department of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China; Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China; National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai, 200444, China; Corresponding author. Department of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.

Journal volume & issue: Vol. 31
pp. 525 – 548

Abstract

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Organoids, miniature and simplified in vitro model systems that mimic the structure and function of organs, have attracted considerable interest due to their promising applications in disease modeling, drug screening, personalized medicine, and tissue engineering. Despite the substantial success in cultivating physiologically relevant organoids, challenges remain concerning the complexities of their assembly and the difficulties associated with data analysis. The advent of AI-Enabled Organoids, which interfaces with artificial intelligence (AI), holds the potential to revolutionize the field by offering novel insights and methodologies that can expedite the development and clinical application of organoids. This review succinctly delineates the fundamental concepts and mechanisms underlying AI-Enabled Organoids, summarizing the prospective applications on rapid screening of construction strategies, cost-effective extraction of multiscale image features, streamlined analysis of multi-omics data, and precise preclinical evaluation and application. We also explore the challenges and limitations of interfacing organoids with AI, and discuss the future direction of the field. Taken together, the AI-Enabled Organoids hold significant promise for advancing our understanding of organ development and disease progression, ultimately laying the groundwork for clinical application.

Published in Bioactive Materials

ISSN: 2452-199X (Online)
Publisher: KeAi Communications Co., Ltd.
Country of publisher: China
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials; Science: Biology (General)
Website: https://www.keaipublishing.com/en/journals/bioactive-materials/

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