Robotics & Machine Learning Daily News2024,Issue(Nov.11) :47-47.

Department of Information Technology Reports Findings in MachineLearning [Integrating (deep) machine learning and cheminformatics for predicting human int estinal absorption of small molecules]

信息技术部报告机器研究结果学习[集成(深度)机器学习和化学信息学预测人类对小分子的吸收]

Robotics & Machine Learning Daily News2024,Issue(Nov.11) :47-47.

Department of Information Technology Reports Findings in MachineLearning [Integrating (deep) machine learning and cheminformatics for predicting human int estinal absorption of small molecules]

信息技术部报告机器研究结果学习[集成(深度)机器学习和化学信息学预测人类对小分子的吸收]

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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NewsRx记者从印度阿萨姆邦报道,研究表明,“口服途径是最可取的。”UG博士递送途径,因为口服给药代表了药品市场的最大份额毒品人体肠道吸收(HIA)与人体生物利用度密切相关,是一种重要的生物利用度预测药物吸收的因素。 ”

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 from Assam, India, by NewsRx journalists, research stated, “The oral route is the most preferredroute for dr ug delivery, due to which the largest share of the pharmaceutical market is repr esented by oraldrugs. Human intestinal absorption (HIA) is closely related to o ral bioavailability making it an importantfactor in predicting drug absorption. ”

Key words

Assam/India/Asia/Cyborgs/Emerging Te chnologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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