The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis

TM Walker, P Miotto, CU Köser, PW Fowler… - The Lancet …, 2022 - thelancet.com
Background Molecular diagnostics are considered the most promising route to achievement
of rapid, universal drug susceptibility testing for Mycobacterium tuberculosis complex …

A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis

AG Green, CH Yoon, ML Chen, Y Ektefaie… - Nature …, 2022 - nature.com
Long diagnostic wait times hinder international efforts to address antibiotic resistance in M.
tuberculosis. Pathogen whole genome sequencing, coupled with statistical and machine …

[HTML][HTML] Epidemiological cut-off values for a 96-well broth microdilution plate for high-throughput research antibiotic susceptibility testing of M. tuberculosis

CRyPTIC Consortium - European Respiratory Journal, 2022 - Eur Respiratory Soc
Drug susceptibility testing of M. tuberculosis is rooted in a binary susceptible/resistant
paradigm. While there are considerable advantages in measuring the minimum inhibitory …

Machine learning models for Neisseria gonorrhoeae antimicrobial susceptibility tests

SL Martin, TD Mortimer, YH Grad - … of the New York Academy of …, 2023 - Wiley Online Library
Neisseria gonorrhoeae is an urgent public health threat due to the emergence of antibiotic
resistance. As most isolates in the United States are susceptible to at least one antibiotic …

Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes

K Hu, F Meyer, ZL Deng, E Asgari, TH Kuo… - Briefings in …, 2024 - academic.oup.com
The advent of rapid whole-genome sequencing has created new opportunities for
computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data …

Machine Learning of the Whole Genome Sequence of Mycobacterium tuberculosis: A Scoping PRISMA-Based Review

R Perea-Jacobo, GR Paredes-Gutiérrez… - Microorganisms, 2023 - mdpi.com
Tuberculosis (TB) remains one of the most significant global health problems, posing a
significant challenge to public health systems worldwide. However, diagnosing drug …

SplitStrains, a tool to identify and separate mixed Mycobacterium tuberculosis infections from WGS data

E Gabbassov, M Moreno-Molina… - Microbial …, 2021 - microbiologyresearch.org
The occurrence of multiple strains of a bacterial pathogen such as M. tuberculosis or C.
difficile within a single human host, referred to as a mixed infection, has important …

Group testing large populations for SARS-CoV-2

H Zabeti, N Dexter, I Lau, L Unruh, B Adcock… - medRxiv, 2021 - medrxiv.org
Group testing, the testing paradigm which combines multiple samples within a single test,
was introduced in 1943 by Robert Dorfman. Since its original proposal for syphilis …

Predicting drug resistance in M. tuberculosis using a long-term recurrent convolutional network

AH Safari, N Sedaghat, H Zabeti, A Forna… - Proceedings of the 12th …, 2021 - dl.acm.org
Motivation: Drug resistance in Mycobacterium tuberculosis (MTB) is a growing threat to
human health worldwide. One way to mitigate the risk of drug resistance is to enable …

Feature selection and aggregation for antibiotic resistance GWAS in Mycobacterium tuberculosis: a comparative study

KO Reshetnikov, DI Bykova, KV Kuleshov, K Chukreev… - bioRxiv, 2022 - biorxiv.org
Drug resistance (DR) remains a global healthcare concern. In contrast to other human
bacterial pathogens, acquiring mutations in the genome is the main mechanism of drug …