AIMC Topic: Gastrointestinal Microbiome

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DCMD: Distance-based classification using mixture distributions on microbiome data.

PLoS computational biology Mar 12, 2021
Current advances in next-generation sequencing techniques have allowed researchers to conduct comprehensive research on the microbiome and human diseases, with recent studies identifying associations between the human microbiome and health outcomes f...
High-Throughput Nucleotide Sequencing Algorithms Computational Biology Gastrointestinal Microbiome Humans Machine Learning
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Expanding the drug discovery space with predicted metabolite-target interactions.

Communications biology Mar 5, 2021
Metabolites produced in the human gut are known modulators of host immunity. However, large-scale identification of metabolite-host receptor interactions remains a daunting challenge. Here, we employed computational approaches to identify 983 potenti...
Bacteria Signal Transduction Gastrointestinal Microbiome Metabolomics Gene Expression Profiling Transcriptome Protein Interaction Maps Data Mining Ligands Molecular Targeted Therapy Host-Pathogen Interactions Metabolome Anti-Inflammatory Agents Gastrointestinal Agents Humans Machine Learning Inflammatory Bowel Diseases Cells, Cultured Drug Discovery Databases, Factual
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Gut microbiome-based supervised machine learning for clinical diagnosis of inflammatory bowel diseases.

American journal of physiology. Gastrointestinal and liver physiology Jan 13, 2021
Despite the availability of various diagnostic tests for inflammatory bowel diseases (IBD), misdiagnosis of IBD occurs frequently, and thus, there is a clinical need to further improve the diagnosis of IBD. As gut dysbiosis is reported in patients wi...
Humans Inflammatory Bowel Diseases Diagnosis, Computer-Assisted Gastrointestinal Microbiome Supervised Machine Learning
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Optimization of probiotic therapeutics using machine learning in an artificial human gastrointestinal tract.

Scientific reports Jan 13, 2021
The gut microbiota's metabolome is composed of bioactive metabolites that confer disease resilience. Probiotics' therapeutic potential hinges on their metabolome altering ability; however, characterizing probiotics' metabolic activity remains a formi...
Humans Machine Learning Algorithms Gastrointestinal Microbiome Probiotics Gastrointestinal Tract
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Host variables confound gut microbiota studies of human disease.

Nature Nov 4, 2020
Low concordance between studies that examine the role of microbiota in human diseases is a pervasive challenge that limits the capacity to identify causal relationships between host-associated microorganisms and pathology. The risk of obtaining false...
Disease Life Style Confounding Factors, Epidemiologic Body Mass Index Gastrointestinal Microbiome RNA, Ribosomal, 16S Gastrointestinal Motility Alcohol Drinking Residence Characteristics Area Under Curve Data Analysis Feces Female ROC Curve Aged Diabetes Mellitus, Type 2 Adult Humans Middle Aged Male Aged, 80 and over Machine Learning Diet Young Adult Case-Control Studies
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Temporal variation and sharing of antibiotic resistance genes between water and wild fish gut in a peri-urban river.

Journal of environmental sciences (China) Oct 24, 2020
Antibiotic resistance genes (ARGs) as emergence contaminations have spread widely in the water environment. Wild fish may be recipients and communicators of ARGs in the water environment, however, the distribution and transmission of ARGs in the wild...
Genes, Bacterial Rivers Anti-Bacterial Agents Gastrointestinal Microbiome Animals RNA, Ribosomal, 16S Water Drug Resistance, Microbial
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Gut microbiome-mediated epigenetic regulation of brain disorder and application of machine learning for multi-omics data analysis.

Genome Oct 8, 2020
The gut-brain axis (GBA) is a biochemical link that connects the central nervous system (CNS) and enteric nervous system (ENS). Clinical and experimental evidence suggests gut microbiota as a key regulator of the GBA. Microbes living in the gut not o...
Artificial Intelligence Machine Learning Data Analysis Bacteria Epigenesis, Genetic Brain Animals Humans Brain Diseases Gastrointestinal Microbiome Dysbiosis Fatty Acids, Volatile
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Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life.

BMC bioinformatics Sep 21, 2020
BACKGROUND: It is a computational challenge for current metagenomic classifiers to keep up with the pace of training data generated from genome sequencing projects, such as the exponentially-growing NCBI RefSeq bacterial genome database. When new ref...
Algorithms Bacteria Gastrointestinal Microbiome Humans Machine Learning Genome, Bacterial Metagenome Sequence Analysis, DNA Bayes Theorem Metagenomics
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Machine Learning Strategy for Gut Microbiome-Based Diagnostic Screening of Cardiovascular Disease.

Hypertension (Dallas, Tex. : 1979) Sep 10, 2020
Cardiovascular disease (CVD) is the number one leading cause for human mortality. Besides genetics and environmental factors, in recent years, gut microbiota has emerged as a new factor influencing CVD. Although cause-effect relationships are not cle...
Gastrointestinal Microbiome Metagenome Cardiovascular Diseases Feces Mass Screening Humans Machine Learning
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Capsule robot for gut microbiota sampling using shape memory alloy spring.

The international journal of medical robotics + computer assisted surgery : MRCAS Aug 14, 2020
BACKGROUND: Human gut microbiota can provide lifelong health information and even influence mood and behaviour. We currently lack the tools to obtain a microbial sample, directly from the small intestine, without contamination.
Shape Memory Alloys Humans Robotics Animals Intestine, Small Gastrointestinal Microbiome
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