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用人工智能革新口腔类器官

Revolutionising oral organoids with artificial intelligence.

作者信息

Yang Jiawei, Fischer Nicholas G, Ye Zhou

机构信息

Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China.

MDRCBB, Minnesota Dental Research Center for Biomaterials and Biomechanics, University of Minnesota, Minneapolis, MN, USA.

出版信息

Biomater Transl. 2024 Nov 15;5(4):372-389. doi: 10.12336/biomatertransl.2024.04.004. eCollection 2024.

Abstract

The convergence of organoid technology and artificial intelligence (AI) is poised to revolutionise oral healthcare. Organoids - three-dimensional structures derived from human tissues - offer invaluable insights into the complex biology of diseases, allowing researchers to effectively study disease mechanisms and test therapeutic interventions in environments that closely mimic in vivo conditions. In this review, we first present the historical development of organoids and delve into the current types of oral organoids, focusing on their use in disease models, regeneration and microbiome intervention. We then compare single-source and multi-lineage oral organoids and assess the latest progress in bioprinted, vascularised and neural-integrated organoids. In the next part of the review, we highlight significant advancements in AI, emphasising how AI algorithms may potentially promote organoid development for early disease detection and diagnosis, personalised treatment, disease prediction and drug screening. However, our main finding is the identification of remaining challenges, such as data integration and the critical need for rigorous validation of AI algorithms to ensure their clinical reliability. Our main viewpoint is that current AI-enabled oral organoids are still limited in applications but, as we look to the future, we offer insights into the potential transformation of AI-integrated oral organoids in oral disease diagnosis, oral microbial interactions and drug discoveries. By synthesising these components, this review aims to provide a comprehensive perspective on the current state and future implications of AI-enabled oral organoids, emphasising their role in advancing oral healthcare and improving patient outcomes.

摘要

类器官技术与人工智能(AI)的融合有望彻底改变口腔医疗保健。类器官——源自人体组织的三维结构——为深入了解疾病的复杂生物学特性提供了宝贵的见解,使研究人员能够在紧密模拟体内条件的环境中有效地研究疾病机制并测试治疗干预措施。在本综述中,我们首先介绍类器官的历史发展,并深入探讨当前口腔类器官的类型,重点关注它们在疾病模型、再生和微生物群干预中的应用。然后,我们比较单源和多谱系口腔类器官,并评估生物打印、血管化和神经整合类器官的最新进展。在综述的下一部分,我们突出了人工智能的重大进展,强调人工智能算法如何可能促进类器官的发展,以实现早期疾病检测与诊断、个性化治疗、疾病预测和药物筛选。然而,我们的主要发现是识别出了尚存的挑战,例如数据整合以及对人工智能算法进行严格验证以确保其临床可靠性的迫切需求。我们的主要观点是,当前基于人工智能的口腔类器官在应用方面仍然有限,但展望未来,我们深入探讨了人工智能整合的口腔类器官在口腔疾病诊断、口腔微生物相互作用和药物发现方面的潜在变革。通过综合这些内容,本综述旨在全面阐述基于人工智能的口腔类器官的现状和未来影响,强调它们在推动口腔医疗保健和改善患者治疗效果方面的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/189d/11764189/5c792c0e5f63/bt-05-04-372-g001.jpg

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