Smarter stem cells: how AI is supercharging iPSC technology.

IF 2.9 3区生物学 Q3 CELL BIOLOGY

Cell and Tissue Research Pub Date : 2025-08-14 DOI:10.1007/s00441-025-03999-7

Hany E Marei

{"title":"Smarter stem cells: how AI is supercharging iPSC technology.","authors":"Hany E Marei","doi":"10.1007/s00441-025-03999-7","DOIUrl":null,"url":null,"abstract":"<p><p>Integrated with artificial intelligence (AI), induced pluripotent stem cell (iPSC) technology could enhance disease modeling, cellular biology, regenerative medicine, and pharmaceutical development. AI has enhanced iPSC differentiation, cultural conditions, and speed of disease-specific model development. Furthermore, AI-based massive omics database analysis exposes hidden biological tendencies, enhancing customized treatment. Investigating new AI algorithms will enable one to solve problems, including interpretability and data quality, resulting from AI's interaction with iPSC technology. These advances fundamentally alter stem cell research and therapeutic applications, therefore facilitating the emergence of regenerative medicine and precision healthcare. AI has evolved in biomedical research into a transformational technology unique in great data analysis, predictive modeling, and automation capacity. AI integration increases the development of patient-specific cell types for disease modeling, pharmacological research, and regenerative medicine by substantially improving IPSC-based technologies. Emphasizing changes in disease models, alternative methodologies, and cellular reprogramming, this work examines current advancements in the use of AI in iPSC technology. The argument on significant obstacles and possibilities reveals how AI could alter the objectives of iPSC research and implementation.</p>","PeriodicalId":9712,"journal":{"name":"Cell and Tissue Research","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell and Tissue Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s00441-025-03999-7","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CELL BIOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Integrated with artificial intelligence (AI), induced pluripotent stem cell (iPSC) technology could enhance disease modeling, cellular biology, regenerative medicine, and pharmaceutical development. AI has enhanced iPSC differentiation, cultural conditions, and speed of disease-specific model development. Furthermore, AI-based massive omics database analysis exposes hidden biological tendencies, enhancing customized treatment. Investigating new AI algorithms will enable one to solve problems, including interpretability and data quality, resulting from AI's interaction with iPSC technology. These advances fundamentally alter stem cell research and therapeutic applications, therefore facilitating the emergence of regenerative medicine and precision healthcare. AI has evolved in biomedical research into a transformational technology unique in great data analysis, predictive modeling, and automation capacity. AI integration increases the development of patient-specific cell types for disease modeling, pharmacological research, and regenerative medicine by substantially improving IPSC-based technologies. Emphasizing changes in disease models, alternative methodologies, and cellular reprogramming, this work examines current advancements in the use of AI in iPSC technology. The argument on significant obstacles and possibilities reveals how AI could alter the objectives of iPSC research and implementation.

查看原文本刊更多论文

更智能的干细胞：人工智能如何强化iPSC技术。

与人工智能（AI）相结合，诱导多能干细胞（iPSC）技术可以增强疾病建模、细胞生物学、再生医学和药物开发。人工智能增强了iPSC的分化、培养条件和疾病特异性模型的开发速度。此外，基于人工智能的海量组学数据库分析揭示了隐藏的生物倾向，增强了定制治疗。研究新的人工智能算法将使人们能够解决由人工智能与iPSC技术相互作用产生的问题，包括可解释性和数据质量。这些进步从根本上改变了干细胞研究和治疗应用，因此促进了再生医学和精准医疗的出现。人工智能已经在生物医学研究领域发展成为一种具有强大数据分析、预测建模和自动化能力的变革性技术。人工智能集成通过大幅改进基于ipsc的技术，促进了用于疾病建模、药理学研究和再生医学的患者特异性细胞类型的开发。强调疾病模型、替代方法和细胞重编程的变化，本工作检查了在iPSC技术中使用人工智能的当前进展。关于重大障碍和可能性的争论揭示了人工智能如何改变iPSC研究和实施的目标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Cell and Tissue Research 生物-细胞生物学

CiteScore

7.00

自引率

2.80%

发文量

142

审稿时长

1 months

期刊介绍： The journal publishes regular articles and reviews in the areas of molecular, cell, and supracellular biology. In particular, the journal intends to provide a forum for publishing data that analyze the supracellular, integrative actions of gene products and their impact on the formation of tissue structure and function. Submission of papers with an emphasis on structure-function relationships as revealed by recombinant molecular technologies is especially encouraged. Areas of research with a long-standing tradition of publishing in Cell & Tissue Research include: - neurobiology - neuroendocrinology - endocrinology - reproductive biology - skeletal and immune systems - development - stem cells - muscle biology.