Deep learning for rapid, single-cell antimicrobial susceptibility testing
The rise of antimicrobial resistance (AMR) is one of the most pressing global healthcare challenges, already causing an estimated 1.2 million preventable deaths annually and rising. Crucial to the management of AMR is rapid and specific diagnosis, allowing early and optimized intervention. Unfortuna...
Autor Principal: | Zagajewski, A |
---|---|
Outros autores: | Kapanidis, A |
Formato: | Thesis |
Idioma: | English |
Publicado: |
2023
|
Subjects: |
Títulos similares
-
Deep Antimicrobial Susceptibility Phenotyping (DASP) Training and Evaluation Dataset, and Trained Models.
por: Zagajewski, A, et al.
Publicado: (2023) -
Bacterial resistance to antimicrobials /
por: Wax, Richard G., 1934-
Publicado: (2008) -
The effects of antibiotic exposure on selection of antimicrobial resistance in the human gut microbiome
por: Peto, L
Publicado: (2020) -
High performance deep learning on resource constrained platforms
por: Fernández-Marqués, J
Publicado: (2021) -
Scalable continual deep learning with computational cost considerations
por: Prabhu, AP
Publicado: (2025)