A Sensitive and Robust Machine Learning-Based Framework for Deciphering Antimicrobial Resistance
Description:
Antibiotics have transformed modern medicine in manifold ways. However, the misuse and over-consumption of antibiotics or antimicrobials have led to the rise in antimicrobial resistance (AMR). Unfortunately, robust tools or techniques for the detection of potential loci responsible for AMR before it happens are lacking. The emergence of resistance even when a strain lacks known AMR genes has puzzled researchers for a long time. Clearly, there is a critical need for the development of novel app…
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Date:
August 2022
Creator:
Sunuwar, Janak
Partner:
UNT Libraries