AIMC Topic: Bacteria
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Microbiome determinants of productivity in aquaculture of whiteleg shrimp.
Applied and environmental microbiology
Apr 15, 2025
UNLABELLED: Aquaculture holds immense promise for addressing the food needs of our growing global population. Yet, a quantitative understanding of the factors that control its efficiency and productivity has remained elusive. In this study, we addres...
Using pathology images and artificial intelligence to identify bacterial infections and their types.
Journal of microbiological methods
Apr 14, 2025
Bacterial infections pose a significant biosafety concern, making early and accurate diagnosis essential for effective treatment and prognosis. Traditional diagnostic methods, while reliable, are often slow and fail to meet urgent clinical demands. I...
Unique Microbial Characterisation of Oesophageal Squamous Cell Carcinoma Patients with Different Dietary Habits Based on Light Gradient Boosting Machine Learning Classifier.
Nutrients
Apr 14, 2025
: The microbiome plays an important role in cancer, but the relationship between dietary habits and the microbiota in oesophageal squamous cell carcinoma (ESCC) is not clear. The aim of this study is to explore the complex relationship between the mi...
Recent advances in occurrence, biotreatment, and integrated insights into bacterial degradation of phthalic acid esters in aquatic environments.
Journal of hazardous materials
Apr 10, 2025
Phthalic acid esters (PAEs) are prevalent as emerging contaminants owing to their widespread use as plasticizers in industry. Despite their environmental and health risks, a limited understanding of PAE contamination in aquatic environments hinders t...
Antimicrobial resistance: Linking molecular mechanisms to public health impact.
SLAS discovery : advancing life sciences R & D
Apr 9, 2025
BACKGROUND: Antimicrobial resistance (AMR) develops into a worldwide health emergency through genetic and biochemical adaptations which enable microorganisms to resist antimicrobial treatment. β-lactamases (blaNDM, blaKPC) and efflux pumps (MexAB-Opr...
Synergistic effect of horizontal transfer of antibiotic resistance genes between bacteria exposed to microplastics and per/polyfluoroalkyl substances: An explanation from theoretical methods.
Journal of hazardous materials
Apr 8, 2025
Microplastics (MPs) and per/polyfluoroalkyl substances (PFASs), as emerging pollutants widely present in aquatic environments, pose a significant threat to human health through the horizontal gene transfer (HGT) of antibiotic resistance genes (ARGs)....
Subtractive genomics approach: A guide to unveiling therapeutic targets across pathogens.
Journal of microbiological methods
Apr 7, 2025
Subtractive genomics is an adaptable bioinformatics technique that is used to identify potential therapeutic targets by differentiating essential genes in pathogens and non-pathogenic genes. Since, identification of therapeutic targets and understand...
An integrated AI knowledge graph framework of bacterial enzymology and metabolism.
Proceedings of the National Academy of Sciences of the United States of America
Apr 7, 2025
The study of bacterial metabolism holds immense significance for improving human health and advancing agricultural practices. The prospective applications of genomically encoded bacterial metabolism present a compelling opportunity, particularly in t...
The Influence of an AI-Driven Personalized Nutrition Program on the Human Gut Microbiome and Its Health Implications.
Nutrients
Apr 3, 2025
Personalized nutrition programs enhanced with artificial intelligence (AI)-based tools hold promising potential for the development of healthy and sustainable diets and for disease prevention. This study aimed to explore the impact of an AI-based pe...
Rapid and accurate identification of foodborne bacteria: a combined approach using confocal Raman micro-spectroscopy and explainable machine learning.
Analytical and bioanalytical chemistry
Mar 29, 2025
This study proposes a rapid identification method for foodborne pathogens by combining Raman spectroscopy with explainable machine learning. Spectral data of nine common foodborne pathogens are collected using a laser confocal Raman spectrometer, and...
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