首页|University Health Network Reports Findings in COVID-19 (Using Machine Learning f or Personalized Prediction of Longitudinal COVID-19 Vaccine Responses in Transpl ant Recipients)
University Health Network Reports Findings in COVID-19 (Using Machine Learning f or Personalized Prediction of Longitudinal COVID-19 Vaccine Responses in Transpl ant Recipients)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Coronavirus - COVID-19 is the subject of a report. According tonews reporting from Toronto, Canada, b y NewsRx journalists, research stated, “The COVID-19 pandemichas underscored th e importance of vaccines, especially for immunocompromised populations like soli dorgan transplant (SOT) recipients, who often have weaker immune responses. The purpose of this studywas to compare deep learning architectures for predicting SARS-CoV-2 vaccine responses 12 months postvaccinationin this high-risk group .”
TorontoCanadaNorth and Central Ameri caBiological ProductsCOVID-19CoronavirusCyborgsDeep LearningEmerging TechnologiesHealth and MedicineImmunizationImmunologyMachine LearningRNA VirusesSARS-CoV-2Severe Acute Respiratory Syndrome Coronavirus 2Vaccin esViralVirology
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