首页|University of Oxford Reports Findings in COVID-19 (Unsupervised identification o f significant lineages of SARS-CoV-2 through scalable machine learning methods)

University of Oxford Reports Findings in COVID-19 (Unsupervised identification o f significant lineages of SARS-CoV-2 through scalable machine learning methods)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Coronavirus - COVID-19 is the subject of a report. According to news originating from Oxford, United K ingdom, by NewsRx correspondents, research stated, “Since its emergence in late 2019, SARS-CoV-2 has diversified into a large number of lineages and caused mult iple waves of infection globally. Novel lineages have the potential to spread ra pidly and internationally if they have higher intrinsic transmissibility and/or can evade host immune responses, as has been seen with the Alpha, Delta, and Omi cron variants of concern.” Financial supporters for this research include Wellcome Trust, Royal Society.

OxfordUnited KingdomEuropeCOVID-19CoronavirusCyborgsEmerging TechnologiesEpidemiologyImmunologyMachine LearningMortalityRNA VirusesRisk and PreventionSARS-CoV-2Severe Acute Respiratory Syndrome Coronavirus 2ViralVirology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.21)