Machine learning for antimicrobial resistance prediction: current practice, limitations, and clinical perspective
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 …
medicine. Effective prevention strategies are urgently required to slow the emergence and …
Integrating whole genome sequencing and machine learning for predicting antimicrobial resistance in critical pathogens: a systematic review of antimicrobial …
Background Infections caused by antibiotic-resistant bacteria pose a major challenge to
modern healthcare. This systematic review evaluates the efficacy of machine learning (ML) …
modern healthcare. This systematic review evaluates the efficacy of machine learning (ML) …
Bacteria exposed to antiviral drugs develop antibiotic cross-resistance and unique resistance profiles
VJ Wallace, EG Sakowski, SP Preheim… - Communications …, 2023 - nature.com
Antiviral drugs are used globally as treatment and prophylaxis for long-term and acute viral
infections. Even though antivirals also have been shown to have off-target effects on …
infections. Even though antivirals also have been shown to have off-target effects on …
Predictive modeling of antibiotic eradication therapy success for new-onset Pseudomonas aeruginosa pulmonary infections in children with cystic fibrosis
L Graña-Miraglia, N Morales-Lizcano… - PLoS computational …, 2023 - journals.plos.org
Chronic Pseudomonas aeruginosa (Pa) lung infections are the leading cause of mortality
among cystic fibrosis (CF) patients; therefore, the eradication of new-onset Pa lung …
among cystic fibrosis (CF) patients; therefore, the eradication of new-onset Pa lung …
[HTML][HTML] Genome-Wide Association Study Reveals Host Factors Affecting Conjugation in Escherichia coli
The emergence and dissemination of antibiotic resistance threaten the treatment of common
bacterial infections. Resistance genes are often encoded on conjugative elements, which …
bacterial infections. Resistance genes are often encoded on conjugative elements, which …
Identification of key drivers of antimicrobial resistance in Enterococcus using machine learning
JI Kim, A Manuele, F Maguire, R Zaheer… - Canadian Journal of …, 2024 - cdnsciencepub.com
With antimicrobial resistance (AMR) rapidly evolving in pathogens, quick and accurate
identification of genetic determinants of phenotypic resistance is essential for improving …
identification of genetic determinants of phenotypic resistance is essential for improving …
Plasmid permissiveness of wastewater microbiomes can be predicted from 16S rRNA sequences by machine learning
D Moradigaravand, L Li, A Dechesne, J Nesme… - …, 2023 - academic.oup.com
Abstract Motivation Wastewater treatment plants (WWTPs) harbor a dense and diverse
microbial community. They constantly receive antimicrobial residues and resistant strains …
microbial community. They constantly receive antimicrobial residues and resistant strains …
An Automated Machine Learning Framework for Antimicrobial Resistance Prediction Through Transcriptomics
A Alsiyabi, SA Shahid, A Al-Harrasi - bioRxiv, 2024 - biorxiv.org
The emergence of antimicrobial resistance (AMR) poses a global threat of growing concern
to the healthcare system. To mitigate the spread of resistant pathogens, physicians must …
to the healthcare system. To mitigate the spread of resistant pathogens, physicians must …
Applications of Artificial Intelligence and Machine Learning in Antimicrobial Resistance Study
A Praveen, N Bartelo, V Soni - … Resistance: Factors to Findings: Omics and …, 2024 - Springer
Microbes possess a natural capacity to resist antimicrobial agents (substances or
compounds that can stop or slow down their growth). Due to bad administration of antibiotics …
compounds that can stop or slow down their growth). Due to bad administration of antibiotics …
Unleashing Genomic Insights with AB Learning: A Self-Supervised Whole-Genome Language Model
B Naidenov - 2023 - search.proquest.com
The language of genetic code embodies a complex grammar and rich syntax of interacting
molecular elements. In this regard, the standard additive marker encoding scheme's inability …
molecular elements. In this regard, the standard additive marker encoding scheme's inability …