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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Bibliografiske detaljer
Hovedforfatter: Ren, Yunxiao
Andre forfattere: Heider, Dominik (Prof. Dr.) (BetreuerIn (Doktorarbeit))
Format: Dissertation
Sprog:engelsk
Udgivet: Philipps-Universität Marburg 2023
Fag:
Biowissenschaften, Biologie
Machine Learning
Antimicrobial Resistance
Data Science
antimikrobielle Resistenz
Maschinelles Lernen
Biomedicine
Life sciences
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