首页|University of Wisconsin Milwaukee Reports Findings in Machine Learning [Using a Novel Multiplexed Algal Cytological Imaging (MACI) Assay and Machine Lea rning as a Way to Characterize Complex Phenotypes in Plant-Type Organisms]
University of Wisconsin Milwaukee Reports Findings in Machine Learning [Using a Novel Multiplexed Algal Cytological Imaging (MACI) Assay and Machine Lea rning as a Way to Characterize Complex Phenotypes in Plant-Type Organisms]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Milwaukee, Wisconsin, by NewsRx journalists, research stated, “High-throughput phenotypic profiling assa ys, popular for their ability to characterize alternations in single-cell morpho logical feature data, have been useful in recent years for predicting cellular t argets and mechanisms of action (MoAs) for different chemicals and novel drugs. However, this approach has not been extensively used in environmental toxicology due to the lack of studies and established methods for performing this kind of assay in environmentally relevant species.”
MilwaukeeWisconsinUnited StatesNor th and Central AmericaChemicalsCyborgsEmerging TechnologiesMachine Learn ing
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