首页|New Machine Learning Study Results from University of Delaware Described (Machin e Learning-based Optimization of a Multi-step Ion Exchange Chromatography for Te rnary Protein Separation)
New Machine Learning Study Results from University of Delaware Described (Machin e Learning-based Optimization of a Multi-step Ion Exchange Chromatography for Te rnary Protein Separation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting from Newark, Delaware, by N ewsRx journalists, research stated, “Ion-exchange chromatography is an essential but complicated step in the biopharmaceutical downstream process, with multiple factors affecting the separation efficiency. Model-based optimization can help expedite process developments with limited time and resource investments.” Financial support for this research came from U.S. Food and Drug Administration (FDA).
NewarkDelawareUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Delaware
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