Harnessing the power of artificial intelligence for human living organoid research

被引:0
|
作者
Wang, Hui [1 ]
Li, Xiangyang [2 ,3 ]
You, Xiaoyan [1 ,2 ]
Zhao, Guoping [1 ,4 ,5 ,6 ]
机构
[1] Chinese Acad Sci, Tianjin Inst Ind Biotechnol, Natl Ctr Technol Innovat Synthet Biol, Master Lab Innovat Applicat Nat Prod, Tianjin 300308, Peoples R China
[2] Henan Univ Sci & Technol, Coll food & Bioengn, Henan Engn Res Ctr Food Microbiol, Luoyang 471023, Peoples R China
[3] Haihe Lab Synthet Biol, Tianjin 300308, Peoples R China
[4] Chinese Acad Sci, Inst Plant Physiol & Ecol, CAS Ctr Excellence Mol Plant Sci, CAS Key Lab Synthet Biol, Shanghai 200032, Peoples R China
[5] Chinese Acad Sci, Shenzhen Inst Synthet Biol, Shenzhen Inst Adv Technol, CAS Key Lab Quantitat Engn Biol, Shenzhen 518055, Peoples R China
[6] Chinese Acad Sci, Shanghai Inst Nutr & Hlth, Engn Lab Nutr, Shanghai 200031, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Artificial intelligence; Human living organoids; Organoid intelligence; In vitro miniature organ models; Multidisciplinary techniques; Preclinical-to-clinical transformation; DEEP LEARNING ALGORITHM; PLURIPOTENT STEM-CELLS; ON-CHIPS; CANCER; REPAIR; INTEGRATION; GENERATION; RESOLUTION; MATURATION; STRATEGIES;
D O I
10.1016/j.bioactmat.2024.08.027
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
As a powerful paradigm, artificial intelligence (AI) is rapidly impacting every aspect of our day-to-day life and scientific research through interdisciplinary transformations. Living human organoids (LOs) have a great potential for in vitro reshaping many aspects of in vivo true human organs, including organ development, disease occurrence, and drug responses. To date, AI has driven the revolutionary advances of human organoids in life science, precision medicine and pharmaceutical science in an unprecedented way. Herein, we provide a forward- looking review, the frontiers of LOs, covering the engineered construction strategies and multidisciplinary technologies for developing LOs, highlighting the cutting-edge achievements and the prospective applications of AI in LOs, particularly in biological study, disease occurrence, disease diagnosis and prediction and drug screening in preclinical assay. Moreover, we shed light on the new research trends harnessing the power of AI for LO research in the context of multidisciplinary technologies. The aim of this paper is to motivate researchers to explore organ function throughout the human life cycle, narrow the gap between in vitro microphysiological models and the real human body, accurately predict human-related responses to external stimuli (cues and drugs), accelerate the preclinical-to-clinical transformation, and ultimately enhance the health and well-being of patients.
引用
收藏
页码:140 / 164
页数:25
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