Leveraging artificial intelligence in the fight against infectious diseases

F Wong, C de la Fuente-Nunez, JJ Collins - Science, 2023 - science.org
Despite advances in molecular biology, genetics, computation, and medicinal chemistry,
infectious disease remains an ominous threat to public health. Addressing the challenges …

Antimicrobial resistance and its spread is a global threat

MM Aljeldah - Antibiotics, 2022 - mdpi.com
Antimicrobial resistance (AMR) is a challenge to human wellbeing the world over and is one
of the more serious public health concerns. AMR has the potential to emerge as a serious …

ResFinder–an open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from …

AF Florensa, RS Kaas, PTLC Clausen… - Microbial …, 2022 - microbiologyresearch.org
Antimicrobial resistance (AMR) is one of the most important health threats globally. The
ability to accurately identify resistant bacterial isolates and the individual antimicrobial …

Accelerating antibiotic discovery through artificial intelligence

MCR Melo, JRMA Maasch… - Communications …, 2021 - nature.com
By targeting invasive organisms, antibiotics insert themselves into the ancient struggle of the
host-pathogen evolutionary arms race. As pathogens evolve tactics for evading antibiotics …

Machine learning for microbiologists

F Asnicar, AM Thomas, A Passerini… - Nature Reviews …, 2024 - nature.com
Abstract Machine learning is increasingly important in microbiology where it is used for tasks
such as predicting antibiotic resistance and associating human microbiome features with …

Machine learning for antimicrobial resistance prediction: current practice, limitations, and clinical perspective

JI Kim, F Maguire, KK Tsang, T Gouliouris… - Clinical microbiology …, 2022 - Am Soc Microbiol
Antimicrobial resistance (AMR) is a global health crisis that poses a great threat to modern
medicine. Effective prevention strategies are urgently required to slow the emergence and …

Whole genome sequencing of Mycobacterium tuberculosis: current standards and open issues

CJ Meehan, GA Goig, TA Kohl, L Verboven… - NATURE reviews …, 2019 - nature.com
Whole genome sequencing (WGS) of Mycobacterium tuberculosis has rapidly progressed
from a research tool to a clinical application for the diagnosis and management of …

Biofilm antimicrobial susceptibility testing: where are we and where could we be going?

T Coenye - Clinical microbiology reviews, 2023 - Am Soc Microbiol
Our knowledge about the fundamental aspects of biofilm biology, including the mechanisms
behind the reduced antimicrobial susceptibility of biofilms, has increased drastically over the …

A systems approach to infectious disease

M Eckhardt, JF Hultquist, RM Kaake… - Nature Reviews …, 2020 - nature.com
Ongoing social, political and ecological changes in the 21st century have placed more
people at risk of life-threatening acute and chronic infections than ever before. The …

Improved prediction of bacterial genotype-phenotype associations using interpretable pangenome-spanning regressions

JA Lees, TT Mai, M Galardini, NE Wheeler… - MBio, 2020 - Am Soc Microbiol
Discovery of genetic variants underlying bacterial phenotypes and the prediction of
phenotypes such as antibiotic resistance are fundamental tasks in bacterial genomics …