AIMC Topic: Anti-Infective Agents
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Essential oils against bacterial isolates from cystic fibrosis patients by means of antimicrobial and unsupervised machine learning approaches.
Scientific reports
Feb 14, 2020
Recurrent and chronic respiratory tract infections in cystic fibrosis (CF) patients result in progressive lung damage and represent the primary cause of morbidity and mortality. Staphylococcus aureus (S. aureus) is one of the earliest bacteria in CF ...
Self-Assembled Polyurethane Capsules with Selective Antimicrobial Activity against Gram-Negative .
ACS biomaterials science & engineering
Dec 16, 2019
This article reports the antimicrobial activity of two segmented amphiphilic polyurethanes, PU-1 and PU-2, containing a primary or secondary amine group, respectively. In acidic water, intrachain H-bonding among the urethanes followed by hierarchical...
Identifying predictors of antimicrobial exposure in hospitalized patients using a machine learning approach.
Journal of applied microbiology
Nov 12, 2019
AIMS: Analysis and tracking of antimicrobial utilization (AU) are crucial in antimicrobial stewardship efforts which are used to find effective interventions for controlling antimicrobial resistance. In antimicrobial stewardship, standard risk adjust...
Same-day antimicrobial susceptibility test using acoustic-enhanced flow cytometry visualized with supervised machine learning.
Journal of medical microbiology
Oct 30, 2019
Antimicrobial susceptibility is slow to determine, taking several days to fully impact treatment. This proof-of-concept study assessed the feasibility of using machine-learning techniques for analysis of data produced by the flow cytometer-assisted ...
Machine learning for clinical decision support in infectious diseases: a narrative review of current applications.
Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
Sep 17, 2019
BACKGROUND: Machine learning (ML) is a growing field in medicine. This narrative review describes the current body of literature on ML for clinical decision support in infectious diseases (ID).
Using natural language processing and VetCompass to understand antimicrobial usage patterns in Australia.
Australian veterinary journal
Jun 17, 2019
BACKGROUND: Currently there is an incomplete understanding of antimicrobial usage patterns in veterinary clinics in Australia, but such knowledge is critical for the successful implementation and monitoring of antimicrobial stewardship programs.
Heterologous Machine Learning for the Identification of Antimicrobial Activity in Human-Targeted Drugs.
Molecules (Basel, Switzerland)
Mar 31, 2019
The emergence of microbes resistant to common antibiotics represent a current treat to human health. It has been recently recognized that non-antibiotic labeled drugs may promote antibiotic-resistance mechanisms in the human microbiome by presenting ...
Simulation program of a cytotoxic compounding robot for monoclonal antibodies and anti-infectious sterile drug preparation.
Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
Jan 16, 2019
The aim of this study was to develop a specific simulation program for the validation of a cytotoxic compounding robot, KIRO® Oncology, for the preparation of sterile monoclonal antibodies and anti-infectious drugs. The impact of excipient formulatio...
Rapid Rule Out of Culture-Negative Bloodstream Infections by Use of a Novel Approach to Universal Detection of Bacteria and Fungi.
The journal of applied laboratory medicine
Nov 20, 2018
BACKGROUND: Currently it can take up to 5 days to rule out bloodstream infection. With the low yield of blood cultures (approximately 10%), a significant number of patients are potentially exposed to inappropriate therapy that can lead to adverse eve...
Natural language processing-based assessment of consistency in summaries of product characteristics of generic antimicrobials.
Pharmacology research & perspectives
Nov 11, 2018
To investigate consistency in summaries of product characteristics (SmPCs) of generic antimicrobials, we used natural language processing (NLP) to analyze and compare large amounts of text quantifying consistency between original and generic SmPCs. W...
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