Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Antimicrobial susceptibility test: from bacterial population analysis to therapy.

International journal of antimicrobial agents - 1 Jan 2002

Scavizzi Maurice R, Labia Roger, Petitjean Olivier J, Elbhar Alexis

Abstract excerpt

The statistical methods and parameters commonly used to define bacterial susceptibility to antibiotics in vitro such as MIC(50), linear regression or others, usually lead to a considerable loss of information: they do not take into account the heterogeneity of the bacterial population. In contrast, multivariate data analyses are more adapted to the description of biological systems. In this way, a population of a...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Automation
Share to Bacteria
Share to Bacterial Infections

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Calibration

Share to Drug Resistance, Bacterial

Share to Genetic Heterogeneity

Share to Gram-Negative Bacteria

Share to Models, Theoretical

Source

Identifiers

PMID: 11814763
DOI: 10.1016/s0924-8579(01)00467-8

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Antimicrobial susceptibility test: from bacterial population analysis to therapy.PMID 11814763Read ↗

Susceptibility testing methods, resistance and breakpoints: what do these terms really mean?Semantic proximity Read ↗

Antimicrobial drug resistance.Semantic proximity Read ↗

The Use of Machine Learning Methodologies to Analyse Antibiotic and Biocide Susceptibility in Staphylococcus aureusSemantic proximity Read ↗

Genetic methods for assessing antimicrobial resistance.Semantic proximity Read ↗

MIC distribution analysis identifies differences in AMR between population sub-groupsSemantic proximity Read ↗

The Genotype-Phenotype Conundrum for Antimicrobial Susceptibility Testing.Semantic proximity Read ↗

Application of a mathematical model to prevent in vivo amplification of antibiotic-resistant bacterial populations during therapy.Semantic proximity Read ↗

Application of a mathematical model to prevent in vivo amplification of antibiotic-resistant bacterial populations during therapySemantic proximity Read ↗

European harmonization of MIC breakpoints for antimicrobial susceptibility testing of bacteriaSemantic proximity Read ↗

Expected phenotypes and expert rules are important complements to antimicrobial susceptibility testing.Semantic proximity Read ↗

[Statistical methods for description of phenotypic susceptibility data].Semantic proximity Read ↗

[Interpretive reading of the antibiogram: Intellectual exercise or clinical need?].Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.