Robotics & Machine Learning Daily News2024,Issue(Jun.17) :31-32.

Reports Summarize Machine Learning Study Results from East China University of Science and Technology (in Silico Prediction of Skin Sensitization for Compounds via Flexible Evidence Combination Based On Machine Learning and ...)

报告总结了华东理工大学的机器学习研究结果(在基于机器学习和...的柔性证据组合的化合物皮肤敏感性的电子预测中)

Robotics & Machine Learning Daily News2024,Issue(Jun.17) :31-32.

Reports Summarize Machine Learning Study Results from East China University of Science and Technology (in Silico Prediction of Skin Sensitization for Compounds via Flexible Evidence Combination Based On Machine Learning and ...)

报告总结了华东理工大学的机器学习研究结果(在基于机器学习和...的柔性证据组合的化合物皮肤敏感性的电子预测中)

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摘要

Robotics&Machine Learning DailyNews的新闻记者兼工作人员新闻编辑在一份新的报告中介绍了机器学习的最新数据。根据NewsRx记者在中国人民共和国上海的新闻报道,研究表明:“由于消费者安全和职业健康问题,皮肤过敏正逐渐成为药物和化妆品开发的一个重要问题。出于伦理和经济考虑,电子方法已经成为传统体内动物试验的替代品。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Machine Learning are presented in a new report. According to news reporting originatingin Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “Skin sensitizationis inc reasingly becoming a significant concern in the development of drugs and cosmeti cs due to consumersafety and occupational health problems. In silico methods ha ve emerged as alternatives to traditional invivo animal testing due to ethical and economic considerations.”

Key words

Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Mathematical Theories/East China University of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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