Robotics & Machine Learning Daily News2024,Issue(Nov.29) :55-55.

Saarland University Reports Findings in Machine Learning (Exploring the Potentia l of Adaptive, Local Machine Learning in Comparison to the Prediction Performanc e of Global Models: A Case Study from Bayer’s Caco-2 Permeability Database)

萨尔兰大学报告了机器学习的发现(探索自适应局部机器学习与全球模型预测性能的比较潜力:来自拜耳Caco-2渗透率数据库的案例研究)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :55-55.

Saarland University Reports Findings in Machine Learning (Exploring the Potentia l of Adaptive, Local Machine Learning in Comparison to the Prediction Performanc e of Global Models: A Case Study from Bayer’s Caco-2 Permeability Database)

萨尔兰大学报告了机器学习的发现(探索自适应局部机器学习与全球模型预测性能的比较潜力:来自拜耳Caco-2渗透率数据库的案例研究)

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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新闻-机器学习的新研究是一份报告的主题。根据来自…的消息德国萨尔布鲁肯,由NewsRx C或受访者撰写,研究称,"机器学习(ML)技术"正在广泛实施以填补新的治疗药物的简单分子设计指南的空白扩大和超越五化学空间规则的模式(eR O5,bRo5)。这些ML技术直接从结构中预测分子性质,以便优先考虑有希望的化合物。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news originating fromSaarbrucken, Germany, by NewsRx c orrespondents, research stated, “Machine learning (ML) techniquesare being wide ly implemented to fill the gap in simple molecular design guidelines for newer t herapeuticmodalities in the extended and beyond rule of five chemical space (eR o5, bRo5). These ML techniquespredict molecular properties directly from the st ructure, allowing for the prioritization of promising compounds.”

Key words

Saarbrucken/Germany/Europe/Algorithms/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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