AIMC Topic: Feces
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Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing.
Parasites & vectors
Jan 29, 2025
BACKGROUND: Amebiasis represents a significant global health concern. This is especially evident in developing countries, where infections are more common. The primary diagnostic method in laboratories involves the microscopy of stool samples. Howeve...
Development of a one-step multiplex RT-qPCR method for rapid detection of bovine diarrhea viruses.
Frontiers in cellular and infection microbiology
Jan 28, 2025
INTRODUCTION: Viral calf diarrhea poses a significant challenge to the cattle industry worldwide due to its high morbidity and mortality rates, leading to substantial economic losses. The clinical symptoms associated with various diarrhea pathogens o...
Kobuvirus
Multiplex Polymerase Chain Reaction
DNA Primers
Reproducibility of Results
Reverse Transcriptase Polymerase Chain Reaction
Cattle Diseases
Sensitivity and Specificity
Diarrhea
Bovine Virus Diarrhea-Mucosal Disease
Feces
Animals
Diarrhea Viruses, Bovine Viral
Torovirus
Cattle
Real-Time Polymerase Chain Reaction
Assessing fecal contamination from human and environmental sources using as an indicator in rural eastern Ethiopian households-a cross-sectional study from the EXCAM project.
Frontiers in public health
Jan 6, 2025
INTRODUCTION: Enteric pathogens are a leading causes of diarrheal deaths in low-and middle-income countries. The Exposure Assessment of Infections in Rural Ethiopia (EXCAM) project, aims to identify potential sources of bacteria in the genus and, m...
Gut microbial composition associated with risk of premature aging in women with Yin-deficiency constitution.
Frontiers in cellular and infection microbiology
Jan 3, 2025
BACKGROUND: Yin-deficiency constitution (YinDC) refers to a traditional Chinese medicine concept, characterized by an imbalance state that includes an imbalance in the gut microbiota, resulting from a relative deficiency of Yin fluids within the body...
Allogenic faecal microbiota transplantation for antibiotic-associated diarrhoea in critically ill patients (FEBATRICE)-Study protocol for a multi-centre randomised controlled trial (phase II).
PloS one
Dec 27, 2024
BACKGROUND: Exposure of critically ill patients to antibiotics lead to intestinal dysbiosis, which often manifests as antibiotic-associated diarrhoea. Faecal microbiota transplantation restores gut microbiota and may lead to faster resolution of diar...
Understanding Parkinson's: The microbiome and machine learning approach.
Maturitas
Dec 23, 2024
OBJECTIVE: Given that Parkinson's disease is a progressive disorder, with symptoms that worsen over time, our goal is to enhance the diagnosis of Parkinson's disease by utilizing machine learning techniques and microbiome analysis. The primary object...
Machine learning analysis of sex and menopausal differences in the gut microbiome in the HELIUS study.
NPJ biofilms and microbiomes
Dec 19, 2024
Sex differences in the gut microbiome have been examined previously, but results are inconsistent, often due to small sample sizes. We investigated sex and menopausal differences in the gut microbiome in a large multi-ethnic population cohort study, ...
Development of deep learning-based mobile application for the identification of Coccidia species in pigs using microscopic images.
Veterinary parasitology
Dec 11, 2024
Coccidiosis is a gastrointestinal parasitic disease caused by different species of Eimeria and Isospora, poses a significant threat to pig farming, leading to substantial economic losses attributed to reduced growth rates, poor feed conversion, incre...
Unravelling metabolite-microbiome interactions in inflammatory bowel disease through AI and interaction-based modelling.
Biochimica et biophysica acta. Molecular basis of disease
Dec 9, 2024
Inflammatory Bowel Diseases (IBDs) are chronic inflammatory disorders of the gastrointestinal tract and colon affecting approximately 7 million individuals worldwide. The knowledge of specific pathology and aetiological mechanisms leading to IBD is l...
Improving fecal bacteria estimation using machine learning and explainable AI in four major rivers, South Korea.
The Science of the total environment
Nov 19, 2024
This study addresses the critical public health issue of fecal coliform contamination in the four major rivers in South Korea (Han, Nakdong, Geum, and Yeongsan rivers) by applying advanced machine learning (ML) algorithms combined with Explainable Ar...
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