A review of using mathematical modeling to improve our understanding of bacteriophage, bacteria, and eukaryotic interactions
Phage therapy, the therapeutic usage of viruses to treat bacterial infections, has many
theoretical benefits in the 'post antibiotic era.'Nevertheless, there are currently no approved …
theoretical benefits in the 'post antibiotic era.'Nevertheless, there are currently no approved …
Artificial intelligence tools for the identification of antibiotic resistance genes
I Olatunji, DKR Bardaji, RR Miranda… - Frontiers in …, 2024 - frontiersin.org
The fight against bacterial antibiotic resistance must be given critical attention to avert the
current and emerging crisis of treating bacterial infections due to the inefficacy of clinically …
current and emerging crisis of treating bacterial infections due to the inefficacy of clinically …
Better understanding and prediction of antiviral peptides through primary and secondary structure feature importance
The emergence of viral epidemics throughout the world is of concern due to the scarcity of
available effective antiviral therapeutics. The discovery of new antiviral therapies is …
available effective antiviral therapeutics. The discovery of new antiviral therapies is …
Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome
Background Antimicrobial resistance (AMR) has a detrimental impact on human health on
Earth and it is equally concerning in other environments such as space habitat due to …
Earth and it is equally concerning in other environments such as space habitat due to …
Word2vec neural model-based technique to generate protein vectors for combating COVID-19: a machine learning approach
TA Adjuik, D Ananey-Obiri - International Journal of Information …, 2022 - Springer
The world was ambushed in 2019 by the COVID-19 virus which affected the health,
economy, and lifestyle of individuals worldwide. One way of combating such a public health …
economy, and lifestyle of individuals worldwide. One way of combating such a public health …
PARGT: a software tool for predicting antimicrobial resistance in bacteria
AS Chowdhury, DR Call, SL Broschat - Scientific reports, 2020 - nature.com
With the ever-increasing availability of whole-genome sequences, machine-learning
approaches can be used as an alternative to traditional alignment-based methods for …
approaches can be used as an alternative to traditional alignment-based methods for …
Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes
The advent of rapid whole-genome sequencing has created new opportunities for
computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data …
computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data …
Antimicrobial resistance and machine learning: challenges and opportunities
Antimicrobial Resistance (AMR) has been identified by the World Health Organisation
(WHO) as one of the top ten global health threats. Inappropriate use of antibiotics around the …
(WHO) as one of the top ten global health threats. Inappropriate use of antibiotics around the …
The role of artificial intelligence in the battle against antimicrobial-resistant bacteria
Antimicrobial resistance (AMR) in bacteria is a global health crisis due to the rapid
emergence of multidrug-resistant bacteria and the lengthy development of new …
emergence of multidrug-resistant bacteria and the lengthy development of new …
Integrative genomics would strengthen AMR understanding through ONE health approach
Emergence of drug-induced antimicrobial resistance (AMR) forms a crippling health and
economic crisis worldwide, causing high mortality from otherwise treatable diseases and …
economic crisis worldwide, causing high mortality from otherwise treatable diseases and …