• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Deep learning outperforms kidney organoid experts.

作者信息

Yu Seyoung, Gee Heon Yung

机构信息

Department of Pharmacology, Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Republic of Korea.

出版信息

Kidney Res Clin Pract. 2023 Jan;42(1):1-3. doi: 10.23876/j.krcp.22.174. Epub 2023 Jan 31.

DOI:10.23876/j.krcp.22.174
PMID:36747356
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9902735/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5379/9902735/d72a097692cf/j-krcp-22-174f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5379/9902735/d72a097692cf/j-krcp-22-174f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5379/9902735/d72a097692cf/j-krcp-22-174f1.jpg

相似文献

1
Deep learning outperforms kidney organoid experts.深度学习的表现优于肾脏类器官专家。
Kidney Res Clin Pract. 2023 Jan;42(1):1-3. doi: 10.23876/j.krcp.22.174. Epub 2023 Jan 31.
2
A deep learning model for detection and tracking in high-throughput images of organoid.用于类器官高通量图像检测和跟踪的深度学习模型。
Comput Biol Med. 2021 Jul;134:104490. doi: 10.1016/j.compbiomed.2021.104490. Epub 2021 May 25.
3
D-CryptO: deep learning-based analysis of colon organoid morphology from brightfield images.D-CryptO:基于深度学习的结肠类器官形态学从明场图像分析。
Lab Chip. 2022 Oct 25;22(21):4118-4128. doi: 10.1039/d2lc00596d.
4
Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks.通过先进的深度学习框架对精子进行繁殖力评估。
IEEE Access. 2022;10:13715-13727. doi: 10.1109/access.2022.3146334. Epub 2022 Jan 26.
5
The Dynamics of Metabolic Characterization in iPSC-Derived Kidney Organoid Differentiation a Comparative Omics Approach.诱导多能干细胞衍生的肾类器官分化中代谢特征的动态变化:一种比较组学方法
Front Genet. 2021 Feb 10;12:632810. doi: 10.3389/fgene.2021.632810. eCollection 2021.
6
MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learning.Moët:混合专家树及其在可验证强化学习中的应用。
Neural Netw. 2022 Jul;151:34-47. doi: 10.1016/j.neunet.2022.03.022. Epub 2022 Mar 23.
7
A Deep Learning Model Incorporating Knowledge Representation Vectors and Its Application in Diabetes Prediction.深度学习模型结合知识表示向量及其在糖尿病预测中的应用。
Dis Markers. 2022 Aug 12;2022:7593750. doi: 10.1155/2022/7593750. eCollection 2022.
8
Cellular extrusion bioprinting improves kidney organoid reproducibility and conformation.细胞挤出式生物打印提高了肾类器官的重现性和形态。
Nat Mater. 2021 Feb;20(2):260-271. doi: 10.1038/s41563-020-00853-9. Epub 2020 Nov 23.
9
Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.基于深度学习的中医电子病历自动化诊断
Comput Methods Programs Biomed. 2019 Jun;174:17-23. doi: 10.1016/j.cmpb.2018.05.008. Epub 2018 May 4.
10
Comparative Analysis and Refinement of Human PSC-Derived Kidney Organoid Differentiation with Single-Cell Transcriptomics.人类多能干细胞衍生肾类器官分化的单细胞转录组学比较分析与优化。
Cell Stem Cell. 2018 Dec 6;23(6):869-881.e8. doi: 10.1016/j.stem.2018.10.010. Epub 2018 Nov 15.

本文引用的文献

1
Deep learning predicts the differentiation of kidney organoids derived from human induced pluripotent stem cells.深度学习预测源自人类诱导多能干细胞的肾类器官的分化。
Kidney Res Clin Pract. 2023 Jan;42(1):75-85. doi: 10.23876/j.krcp.22.017. Epub 2022 Sep 8.
2
Protocol for Large-Scale Production of Kidney Organoids from Human Pluripotent Stem Cells.人类多能干细胞大规模生产肾类器官的方案。
STAR Protoc. 2020 Oct 29;1(3):100150. doi: 10.1016/j.xpro.2020.100150. eCollection 2020 Dec 18.
3
Human organoids: model systems for human biology and medicine.
人类类器官:人类生物学和医学的模型系统。
Nat Rev Mol Cell Biol. 2020 Oct;21(10):571-584. doi: 10.1038/s41580-020-0259-3. Epub 2020 Jul 7.
4
Deep learning for cellular image analysis.深度学习在细胞图像分析中的应用。
Nat Methods. 2019 Dec;16(12):1233-1246. doi: 10.1038/s41592-019-0403-1. Epub 2019 May 27.
5
A Simple Bioreactor-Based Method to Generate Kidney Organoids from Pluripotent Stem Cells.基于简单生物反应器的方法从多能干细胞生成肾类器官。
Stem Cell Reports. 2018 Aug 14;11(2):470-484. doi: 10.1016/j.stemcr.2018.06.018. Epub 2018 Jul 19.
6
Deep Learning in Medical Image Analysis.医学图像分析中的深度学习
Annu Rev Biomed Eng. 2017 Jun 21;19:221-248. doi: 10.1146/annurev-bioeng-071516-044442. Epub 2017 Mar 9.
7
Nephron organoids derived from human pluripotent stem cells model kidney development and injury.源自人类多能干细胞的肾单位类器官可模拟肾脏发育和损伤。
Nat Biotechnol. 2015 Nov;33(11):1193-200. doi: 10.1038/nbt.3392.
8
Kidney organoids from human iPS cells contain multiple lineages and model human nephrogenesis.人诱导多能干细胞来源的肾类器官包含多种细胞谱系,并可模拟人类肾发生。
Nature. 2015 Oct 22;526(7574):564-8. doi: 10.1038/nature15695. Epub 2015 Oct 7.
9
Organogenesis in a dish: modeling development and disease using organoid technologies.器官发生在培养皿中:使用类器官技术模拟发育和疾病。
Science. 2014 Jul 18;345(6194):1247125. doi: 10.1126/science.1247125. Epub 2014 Jul 17.
10
Redefining the in vivo origin of metanephric nephron progenitors enables generation of complex kidney structures from pluripotent stem cells.重新定义后肾原基祖细胞的体内起源,使多能干细胞能够生成复杂的肾组织结构。
Cell Stem Cell. 2014 Jan 2;14(1):53-67. doi: 10.1016/j.stem.2013.11.010. Epub 2013 Dec 12.