eMIC-AntiKP: Estimating minimum inhibitory concentrations of antibiotics towards Klebsiella pneumoniae using deep learning

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Title

eMIC-AntiKP: Estimating minimum inhibitory concentrations of antibiotics towards Klebsiella pneumoniae using deep learning

Content partner

Victoria University of Wellington

Collection

Open Access Victoria University of Wellington

Description

Nowadays, antibiotic resistance has become one of the most concerning problems that directly affects the recovery process of patients. For years, numerous efforts have been made to efficiently use antimicrobial drugs with appropriate doses not only to exterminate microbes but also stringently constrain any chances for bacterial evolution. However, choosing proper antibiotics is not a straightforward and time-effective process because well-defined drugs can only be given to patients after dete...

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Format

Research paper

Research format

Scholarly text / Journal article

Date created

2023

Creator

Hoang Nguyen / HH Ngo / TH Nguyen-Vo / TTT Do / S Rahardja / Binh Nguyen

URL

https://figshare.com/articles/journal_contribution/eMIC-AntiKP_Estimating_minimum_inhibitory_conc...

Related subjects

Biochemistry and cell biology / Information and computing sciences / Applied computing / Theory of computation / Numerical and computational mathematics / Minimum inhibitory concentration / Antimicrobial resistance / Antibiotic / Klebsiella pneumoniae / Convolutional neural networks / k-mer counting / Information and Computing Sciences / Applied Computing / Pneumonia & Influenza / Infectious Diseases / Lung / Pneumonia

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