首页|Reports from Weill Cornell Medicine Describe Recent Advances in Neoplasms (Compa rison of Three Machine Learning Algorithms for Classification of B-cell Neoplasm s Using Clinical Flow Cytometry Data)
Reports from Weill Cornell Medicine Describe Recent Advances in Neoplasms (Compa rison of Three Machine Learning Algorithms for Classification of B-cell Neoplasm s Using Clinical Flow Cytometry Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Neoplasms. According to news reporting originating from New York City, New York, by NewsRx correspondents, research stated, “Multiparameter flow cytometry data is visually inspected by expert personnel as part of standard clinical disease diagnosis pr actice. This is a demanding and costly process, and recent research has demonstr ated that it is possible to utilize artificial intelligence (AI) algorithms to a ssist in the interpretive process.” Funders for this research include Department of Pathology and Laboratory Medicin e at Weill Cornell Medicine, Cornell University, National Institutes of Health ( NIH) - USA.
New York CityNew YorkUnited StatesNorth and Central AmericaAlgorithmsCyborgsCytometryEmerging TechnologiesHealth and MedicineMachine LearningNeoplasmsWeill Cornell Medicine
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