Combining machine learning with high-content imaging to infer ciprofloxacin susceptibility in isolates of Salmonella Typhimurium
Antimicrobial resistance (AMR) is a growing public health crisis that requires innovative solutions. Current susceptibility testing approaches limit our ability to rapidly distinguish between antimicrobial-susceptible and -resistant organisms. Salmonella Typhimurium (S. Typhimurium) is an enteric pa...
| Principais autores: | , , , , , , , , , , , |
|---|---|
| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
Nature Research
2024
|