Catheter-associated urinary tract infections: current challenges and future prospects
GT Werneburg - Research and reports in urology, 2022 - Taylor & Francis
Catheter-associated urinary tract infection (CAUTI) is the most common healthcare-
associated infection and cause of secondary bloodstream infections. Despite many …
associated infection and cause of secondary bloodstream infections. Despite many …
Role of the microbiota in response to and recovery from cancer therapy
Our understanding of how the microbiota affects the balance between response to and
failure of cancer treatment by modulating the tumour microenvironment and systemic …
failure of cancer treatment by modulating the tumour microenvironment and systemic …
Antimicrobial resistance: a concise update
CS Ho, CTH Wong, TT Aung… - The Lancet …, 2024 - thelancet.com
Antimicrobial resistance (AMR) is a serious threat to global public health, with approximately
5 million deaths associated with bacterial AMR in 2019. Tackling AMR requires a …
5 million deaths associated with bacterial AMR in 2019. Tackling AMR requires a …
Artificial intelligence and machine learning assisted drug delivery for effective treatment of infectious diseases
In the era of antimicrobial resistance, the prevalence of multidrug-resistant microorganisms
that resist conventional antibiotic treatment has steadily increased. Thus, it is now …
that resist conventional antibiotic treatment has steadily increased. Thus, it is now …
Applications of machine learning to the problem of antimicrobial resistance: an emerging model for translational research
Antimicrobial resistance (AMR) remains one of the most challenging phenomena of modern
medicine. Machine learning (ML) is a subfield of artificial intelligence that focuses on the …
medicine. Machine learning (ML) is a subfield of artificial intelligence that focuses on the …
Using machine learning to predict antimicrobial resistance―a literature review
Machine learning (ML) algorithms are increasingly applied in medical research and in
healthcare, gradually improving clinical practice. Among various applications of these novel …
healthcare, gradually improving clinical practice. Among various applications of these novel …
[HTML][HTML] High-resolution analyses of associations between medications, microbiome, and mortality in cancer patients
Discerning the effect of pharmacological exposures on intestinal bacterial communities in
cancer patients is challenging. Here, we deconvoluted the relationship between drug …
cancer patients is challenging. Here, we deconvoluted the relationship between drug …
Personalized antibiograms for machine learning driven antibiotic selection
Abstract Background The Centers for Disease Control and Prevention identify antibiotic
prescribing stewardship as the most important action to combat increasing antibiotic …
prescribing stewardship as the most important action to combat increasing antibiotic …
Antimicrobial resistance crisis: could artificial intelligence be the solution?
GY Liu, D Yu, MM Fan, X Zhang, ZY Jin, C Tang… - Military Medical …, 2024 - Springer
Antimicrobial resistance is a global public health threat, and the World Health Organization
(WHO) has announced a priority list of the most threatening pathogens against which novel …
(WHO) has announced a priority list of the most threatening pathogens against which novel …
From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance–a Comprehensive Review
The emergence of drug-resistant bacteria poses a significant challenge to modern medicine.
In response, Artificial Intelligence (AI) and Machine Learning (ML) algorithms have emerged …
In response, Artificial Intelligence (AI) and Machine Learning (ML) algorithms have emerged …