Browsing Department of Clinical Science by Journals "Frontiers in Microbiology"
Now showing items 1-11 of 11
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Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
(Journal article; Peer reviewed, 2023)The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide range of disorders, which ... -
Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment
(Journal article; Peer reviewed, 2021)The number of microbiome-related studies has notably increased the availability of data on human microbiome composition and function. These studies provide the essential material to deeply explore host-microbiome associations ... -
Bacteraemia, Malaria, and Case Fatality Among Children Hospitalized With Fever in Dar es Salaam, Tanzania
(Journal article; Peer reviewed, 2020)Background: Febrile illness is the commonest cause of hospitalization in children <5 years in sub-Saharan Africa, and bacterial bloodstream infections and malaria are major causes of death. Methods: From March 2017 to ... -
Consistent biofilm formation by Streptococcus pyogenes emm 1 isolated from patients with necrotizing soft tissue infections
(Journal article; Peer reviewed, 2022-02-18)Objectives: Biofilm formation has been demonstrated in muscle and soft tissue samples from patients with necrotizing soft tissue infection (NSTI) caused by Streptococcus pyogenes, but the clinical importance of this ... -
Cow Farmers’ Homes Host More Diverse Airborne Bacterial Communities Than Pig Farmers’ Homes and Suburban Homes
(Journal article; Peer reviewed, 2022)Living on a farm has been linked to a lower risk of immunoregulatory disorders, such as asthma, allergy, and inflammatory bowel disease. It is hypothesized that a decrease in the diversity and composition of indoor microbial ... -
Exposure to Antibacterial Chemicals Is Associated With Altered Composition of Oral Microbiome
(Journal article; Peer reviewed, 2022)Antimicrobial chemicals are used as preservatives in cosmetics, pharmaceuticals, and food to prevent the growth of bacteria and fungi in the products. Unintentional exposure in humans to such chemicals is well documented, ... -
Genomic epidemiology of Streptococcus dysgalactiae subsp. equisimilis strains causing invasive disease in Norway during 2018
(Journal article; Peer reviewed, 2023)Background: Streptococcus dysgalactiae subspecies equisimilis (SDSE) is an emerging global pathogen, yet the epidemiology and population genetics of SDSE species have not been extensively characterized. Methods: We ... -
Machine learning approaches in microbiome research: challenges and best practices
(Journal article; Peer reviewed, 2023)Microbiome data predictive analysis within a machine learning (ML) workflow presents numerous domain-specific challenges involving preprocessing, feature selection, predictive modeling, performance estimation, model ... -
Overview of data preprocessing for machine learning applications in human microbiome research
(Journal article; Peer reviewed, 2023)Although metagenomic sequencing is now the preferred technique to study microbiome-host interactions, analyzing and interpreting microbiome sequencing data presents challenges primarily attributed to the statistical ... -
Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions
(Journal article; Peer reviewed, 2021)The human microbiome has emerged as a central research topic in human biology and biomedicine. Current microbiome studies generate high-throughput omics data across different body sites, populations, and life stages. Many ... -
A toolbox of machine learning software to support microbiome analysis
(Journal article; Peer reviewed, 2023)The human microbiome has become an area of intense research due to its potential impact on human health. However, the analysis and interpretation of this data have proven to be challenging due to its complexity and high ...