A systematic review of artificial intelligence and machine learning applications to inflammatory bowel disease, with practical guidelines for interpretation

IS Stafford, MM Gosink, E Mossotto… - Inflammatory Bowel …, 2022 - academic.oup.com
Background Inflammatory bowel disease (IBD) is a gastrointestinal chronic disease with an
unpredictable disease course. Computational methods such as machine learning (ML) have …

Genomic reconstruction of short-chain fatty acid production by the human gut microbiota

MS Frolova, IA Suvorova, SN Iablokov… - Frontiers in Molecular …, 2022 - frontiersin.org
Short-chain fatty acids (SCFAs) including acetate, formate, propionate, and butyrate are the
end products of dietary fiber and host glycan fermentation by the human gut microbiota …

Characteristics of fecal microbiota and machine learning strategy for fecal invasive biomarkers in pediatric inflammatory bowel disease

X Wang, Y Xiao, X Xu, L Guo, Y Yu, N Li… - Frontiers in Cellular and …, 2021 - frontiersin.org
Background Early diagnosis and treatment of pediatric Inflammatory bowel disease (PIBD) is
challenging due to the complexity of the disease and lack of disease specific biomarkers …

Genomics-based reconstruction and predictive profiling of amino acid biosynthesis in the human gut microbiome

GA Ashniev, SN Petrov, SN Iablokov, DA Rodionov - Microorganisms, 2022 - mdpi.com
The human gut microbiota (HGM) have an impact on host health and disease. Amino acids
are building blocks of proteins and peptides, also serving as precursors of many essential …

Host-microbiome interactions mediated by phenolic metabolites in chronically critically ill patients

E Chernevskaya, N Klimenko, A Pautova, I Buyakova… - Metabolites, 2021 - mdpi.com
The community structure and metabolic potential of gut microbiome is not well investigated,
especially in chronically critically ill patients with prolonged dependence on support systems …

Approximation of a microbiome composition shift by a change in a single balance between two groups of taxa

VE Odintsova, NS Klimenko, AV Tyakht - Msystems, 2022 - Am Soc Microbiol
Linking microbiome composition obtained from metagenomic or 16S rRNA sequencing to
various factors poses a real challenge. The compositional approach to such data is well …

Binary metabolic phenotypes and phenotype diversity metrics for the functional characterization of microbial communities

SN Iablokov, PS Novichkov, AL Osterman… - Frontiers in …, 2021 - frontiersin.org
The profiling of 16S rRNA revolutionized the exploration of microbiomes, allowing to
describe community composition by enumerating relevant taxa and their abundances …

Metagenomics and Machine Learning-Based Precision Medicine Approaches for Autoimmune Diseases

I Zehrh, U Habiba, MR Picco, SH Bashir, UA Rehman… - 2023 - preprints.org
The makeup of human microbiota has been linked to a number of autoimmune disorders.
Recent developments in whole metagenome sequencing and 16S rRNA sequencing …

Biological characteristics of the enteroaggregative escherichia coli ont: h30 18-726 (no. B-8857) strain isolated from a patient with ulcerative colitis and a new method …

MA Makarova, EE Kruglov, LA Kaftyreva - Russian Journal of Infection …, 2023 - iimmun.ru
The aim of the work is to assess biological properties of the enteroaggregative Escherichia
coli (EAgEC) strain isolated from the colon mucosa biopsy material from a patient with …

Exploring a multiple causative bacterial aetiology for paediatric Inflammatory Bowel Disease: Finding a needle in a stack of needles and the point of sifting through the …

C Poulton - 2022 - unsworks.unsw.edu.au
When I started this journey, the gut microbiomes contribution to IBD was poorly understood
and was the big unknown. Since then there have been substantial advances in filling …