首页|University of the Chinese Academy of Sciences Reports Findings in Artificial Int elligence (Next-Generation Patient-Based Real-Time Quality Control Models)
University of the Chinese Academy of Sciences Reports Findings in Artificial Int elligence (Next-Generation Patient-Based Real-Time Quality Control Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news originating from Beijing, People 's Republic of China, by NewsRx correspondents, research stated, "Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBR TQC algorithms have advanced in parallel with developments in computer science a nd the increased availability of more powerful computers." Our news journalists obtained a quote from the research from the University of t he Chinese Academy of Sciences, "The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. Howev er, until this review, there has been no critical comparison of these. The PBRTQ C algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted."
BeijingPeople's Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine Learning
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