Tianjin University of Traditional Chinese Medicine Reports Findings in Machine L earning (A Machine Learning-Based Approach for the Prediction of Anticoagulant A ctivity of Hypericum perforatum L. and Evaluation of Compound Activity)

天津中医药大学发表机器学习(基于机器学习的贯叶连翘抗凝血活性预测及复合活性评价方法)研究结果

Robotics & Machine Learning Daily News2024，Issue(Dec.4) ：61-62.

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Tianjin University of Traditional Chinese Medicine Reports Findings in Machine L earning (A Machine Learning-Based Approach for the Prediction of Anticoagulant A ctivity of Hypericum perforatum L. and Evaluation of Compound Activity)

天津中医药大学发表机器学习(基于机器学习的贯叶连翘抗凝血活性预测及复合活性评价方法)研究结果

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道来自中华人民共和国天津的报道，由NewsRx记者报道，研究称，“贯叶连翘(HPL)是国内外研究较多的药用植物。”植物然而，尚未检索到与HPL抗凝活性相关的研究报告。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Tianjin, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“Hypericum p erforatum L. (HPL) is extensively researched domestically and internationally as a medicinalplant. However, no reports of studies related to the anticoagulant activity of HPL have been retrieved.”

Key words

Tianjin/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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