Robotics & Machine Learning Daily News2024,Issue(Jul.1) :6-7.

Syracuse University Reports Findings in Regenerative Medicine (Design optimizati on of geometrically confined cardiac organoids enabled by machine learning techn iques)

雪城大学报告再生医学的发现(机器学习技术实现的几何受限心脏器官的优化设计)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :6-7.

Syracuse University Reports Findings in Regenerative Medicine (Design optimizati on of geometrically confined cardiac organoids enabled by machine learning techn iques)

雪城大学报告再生医学的发现(机器学习技术实现的几何受限心脏器官的优化设计)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-生物医学工程的新研究-再生医学是一篇报道的主题。根据NewsRx编辑在纽约锡拉丘兹的新闻报道,研究表明:“干细胞类器官是研究器官发育、疾病建模、药物筛选和再生医学应用的强大模型。类器官技术、组织工程和人工智能(AI)的融合有可能增强我们对类器官工程设计原则的理解。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Biomedical Engineering - Regenerative Medicine is the subject of a report. According to news reporting out of Syracuse, New York, by NewsRx editors, research stated, “Stem cell organ oids are powerful models for studying organ development, disease modeling, drug screening, and regenerative medicine applications. The convergence of organoid t echnology, tissue engineering, and artificial intelligence (AI) could potentiall y enhance our understanding of the design principles for organoid engineering.”

Key words

Syracuse/New York/United States/North and Central America/Bioengineering/Biomedical Engineering/Biomedicine/Biote chnology/Cardiology/Cyborgs/Emerging Technologies/Health and Medicine/Machi ne Learning/Regenerative Medicine/Tissue Engineering

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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