用人工智能革新口腔类器官。

Biomaterials Translational Pub Date : 2024-11-15 eCollection Date: 2024-01-01 DOI:10.12336/biomatertransl.2024.04.004
Jiawei Yang, Nicholas G Fischer, Zhou Ye
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引用次数: 0

摘要

类器官技术和人工智能(AI)的融合有望彻底改变口腔保健。类器官——来源于人体组织的三维结构——为疾病的复杂生物学提供了宝贵的见解,使研究人员能够有效地研究疾病机制,并在接近模拟体内条件的环境中测试治疗干预措施。在这篇综述中,我们首先介绍了类器官的历史发展,并深入研究了当前类型的口腔类器官,重点介绍了它们在疾病模型、再生和微生物组干预中的应用。然后,我们比较了单一来源和多谱系口腔类器官,并评估了生物打印、血管化和神经整合类器官的最新进展。在接下来的回顾中,我们将重点介绍人工智能的重大进展,强调人工智能算法如何潜在地促进类器官的发展,用于早期疾病检测和诊断、个性化治疗、疾病预测和药物筛选。然而,我们的主要发现是确定了仍然存在的挑战,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要。我们的主要观点是,目前人工智能支持的口腔类器官在应用方面仍然有限,但是,当我们展望未来时,我们对人工智能集成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转变提供了见解。通过综合这些成分,本综述旨在全面了解人工智能口腔类器官的现状和未来影响,强调它们在促进口腔保健和改善患者预后方面的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Revolutionising oral organoids with artificial intelligence.

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.

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CiteScore
6.70
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