深度学习的表现优于肾脏类器官专家。 - Suppr

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

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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。

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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。

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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。

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Deep learning outperforms kidney organoid experts.

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