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作 者:Jiawei Yang Nicholas G.Fischer Zhou Ye
机构地区:[1]Applied Oral Sciences and Community Dental Care,Faculty of Dentistry,The University of Hong Kong,Hong Kong Special Administrative Region,China [2]MDRCBB,Minnesota Dental Research Center for Biomaterials and Biomechanics,University of Minnesota,Minneapolis,MN,USA
出 处:《Biomaterials Translational》2024年第4期372-389,共18页生物材料转化电子杂志(英文)
基 金:supported by the IADR Innovation in Oral Care Awards,the Innovation and Technology Fund(No.ITS/307/22);the National Natural Science Foundation of China(NSFC)Young Scientist Fund(No.82401187).
摘 要: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.
关 键 词:artificial intelligence BIOPRINTING dental stem cells machine learning oral disease oral organoids
分 类 号:R318.1[医药卫生—生物医学工程] TP18[医药卫生—基础医学]
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