Using Genomic Tools to Predict Antimicrobial Resistance and Markers in Clinical Bacterial Samples
The study uses genomic tools to predict antimicrobial resistance (AMR) and identify resistance markers in hospital-acquired infections (HAIs). It evaluates the genetic profiles of Pseudomonas aeruginosa and Staphylococcus aureus. Results show that genomic tools like CARD-RGI and Solu can accurately identify resistance genes and predict AMR phenotypes. This suggests the potential of genomic approaches in managing resistant infections and developing new antimicrobial strategies.
OUR UNDERWRITERS
Unrestricted financial support by:
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Antimicrobial Resistance Fighter Coalition |
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Bangalore Bioinnovation Centre |
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INTERNATIONAL FEDERATION PHARMACEUTICAL MANUFACTURERS & ASSOCIATIONS |
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BD |
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