首页|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)
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)
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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.”
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