AIMC Topic: Feces
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Machine learning-based analyses support the existence of species complexes for and .
Parasitology
Jun 16, 2020
Human strongyloidiasis is a serious disease mostly attributable to Strongyloides stercoralis and to a lesser extent Strongyloides fuelleborni, a parasite mainly of non-human primates. The role of animals as reservoirs of human-infecting Strongyloides...
Strongyloides stercoralis
Strongyloidiasis
Genetic Speciation
Electron Transport Complex IV
Genes, Helminth
Strongyloides
RNA, Ribosomal, 18S
Multilocus Sequence Typing
Disease Reservoirs
Humans
Primates
Computational Biology
Machine Learning
Animals
Dogs
Phylogeny
Dog Diseases
Feces
Haplotypes
Genotype
Sensor-Array Optimization Based on Time-Series Data Analytics for Sanitation-Related Malodor Detection.
IEEE transactions on biomedical circuits and systems
Jun 12, 2020
There is an unmet need for a low-cost instrumented technology for detecting sanitation-related malodor as an alert for maintenance around shared toilets and emerging technologies for onsite waste treatment. In this article, our approach to an electro...
A Framework for Effective Application of Machine Learning to Microbiome-Based Classification Problems.
mBio
Jun 9, 2020
Machine learning (ML) modeling of the human microbiome has the potential to identify microbial biomarkers and aid in the diagnosis of many diseases such as inflammatory bowel disease, diabetes, and colorectal cancer. Progress has been made toward dev...
Detection of Intestinal Protozoa in Trichrome-Stained Stool Specimens by Use of a Deep Convolutional Neural Network.
Journal of clinical microbiology
May 26, 2020
Intestinal protozoa are responsible for relatively few infections in the developed world, but the testing volume is disproportionately high. Manual light microscopy of stool remains the gold standard but can be insensitive, time-consuming, and diffic...
Deep learning-based classification of rectal fecal retention and analysis of fecal properties using ultrasound images in older adult patients.
Japan journal of nursing science : JJNS
May 11, 2020
AIM: The present study aimed to analyze the use of machine learning in ultrasound (US)-based fecal retention assessment.
A Light-Weight Practical Framework for Feces Detection and Trait Recognition.
Sensors (Basel, Switzerland)
May 6, 2020
Fecal trait examinations are critical in the clinical diagnosis of digestive diseases, and they can effectively reveal various aspects regarding the health of the digestive system. An automatic feces detection and trait recognition system based on a ...
A low-cost, automated parasite diagnostic system via a portable, robotic microscope and deep learning.
Journal of biophotonics
May 30, 2019
Manual hand counting of parasites in fecal samples requires costly components and substantial expertise, limiting its use in resource-constrained settings and encouraging overuse of prophylactic medication. To address this issue, a cost-effective, au...
Comparison between random forest and gradient boosting machine methods for predicting Listeria spp. prevalence in the environment of pastured poultry farms.
Food research international (Ottawa, Ont.)
Mar 28, 2019
Foodborne pathogens such as Listeria spp. contain the ability to survive and multiply in poultry farming environments, which provides a route of contamination for poultry processing environments and final poultry products. An understanding of the eff...
Association of time to colonoscopy after a positive fecal test result and fecal hemoglobin concentration with risk of advanced colorectal neoplasia.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Dec 23, 2018
BACKGROUND: We evaluated the risk of advanced colorectal neoplasia (ACRN) and colorectal cancer (CRC) according to time to colonoscopy after positive fecal immunochemical test (FIT), fecal hemoglobin concentration, and combination of both.
Exploring the interactions between serum free fatty acids and fecal microbiota in obesity through a machine learning algorithm.
Food research international (Ottawa, Ont.)
Dec 5, 2018
Serum free fatty acids (FFA) are generally elevated in obesity. The gut microbiota is involved in the host energy metabolism through the regulation of body fat storage, and a link between diet, FFA and the intestinal microbiota seems to exist. Our ai...
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