AIMC Topic: Pseudomonas fluorescens
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Machine learning-driven electronic identifications of single pathogenic bacteria.
Scientific reports
Sep 23, 2020
A rapid method for screening pathogens can revolutionize health care by enabling infection control through medication before symptom. Here we report on label-free single-cell identifications of clinically-important pathogenic bacteria by using a poly...
Use of high-content analysis and machine learning to characterize complex microbial samples via morphological analysis.
PloS one
Sep 23, 2019
High Content Analysis (HCA) has become a cornerstone of cellular analysis within the drug discovery industry. To expand the capabilities of HCA, we have applied the same analysis methods, validated in numerous mammalian cell models, to microbiology m...
Inhibition of bacterial surface colonization by immobilized silver nanoparticles depends critically on the planktonic bacterial concentration.
Journal of colloid and interface science
Dec 23, 2015
Immobilization of antimicrobial silver nanoparticles (AgNPs) on surfaces has been proposed as a method to inhibit biofouling or as a possible route by which incidental releases of AgNPs may interfere with biofilms in the natural environment or in was...
Machine learning assisted media optimization for enhanced insulin production in Pseudomonas fluorescens cell factory and scale-up studies.
International journal of biological macromolecules
Jun 1, 2025
Diabetes mellitus, a chronic metabolic disorder, is characterized by high blood glucose levels. External insulin administration, along with diet and exercise, is recommended to the patients. The increase in the number of diabetics and the adoption of...
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