Application of Machine Learning in the Detection of Antimicrobial Resistance

Application of Machine Learning in the Detection of Antimicrobial Resistance

Antimicrobial resistance (AMR) has become one of the significant global threats to both human and animal health, intensifying the need for rapid and precise AMR diagnostic methods. Traditional antimicrobial susceptibility testing (AST) is time-consuming, low throughput, and limited to cultivable bac...

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Bibliografische gegevens
Hoofdauteur: Ren, Yunxiao
Andere auteurs: Heider, Dominik (Prof. Dr.) (Thesis begeleider)
Formaat: Dissertation
Taal:Engels
Gepubliceerd in: Philipps-Universität Marburg 2023
Onderwerpen:
Biowissenschaften, Biologie
Machine Learning
Antimicrobial Resistance
Data Science
antimikrobielle Resistenz
Maschinelles Lernen
Biomedicine
Life sciences
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