AIMC Topic: Microbiota

Clear Filters Showing 51 to 60 of 199 articles

Transition from sulfur autotrophic to mixotrophic denitrification: Performance with different carbon sources, microbial community and artificial neural network modeling.

Chemosphere Sep 30, 2024
To address the limitations inherent in both sulfur autotrophic denitrification (SAD) and heterotrophic denitrification (HD) processes, this study introduces a novel approach. Three carbon sources (glucose, methanol, and sodium acetate) were fed into ...
Nitrogen Glucose Denitrification Nitrates Microbiota Bioreactors Methanol Neural Networks, Computer Carbon Autotrophic Processes Heterotrophic Processes Sodium Acetate Sulfur
View on PubMed DOI

Microbe-drug association prediction model based on graph convolution and attention networks.

Scientific reports Sep 27, 2024
The human microbiome plays a key role in drug development and precision medicine, but understanding its complex interactions with drugs remains a challenge. Identifying microbe-drug associations not only enhances our understanding of their mechanisms...
Microbiota Neural Networks, Computer Drug Discovery Computational Biology Pharmaceutical Preparations Deep Learning Humans
View on PubMed DOI

Bioinformatics challenges for profiling the microbiome in cancer: pitfalls and opportunities.

Trends in microbiology Sep 12, 2024
Increasing evidence suggests that the human microbiome plays an important role in cancer risk and treatment. Untargeted 'omics' techniques have accelerated research into microbiome-cancer interactions, supporting the discovery of novel associations a...
Computational Biology Sequence Analysis, DNA Metagenomics Microbiota Machine Learning Neoplasms Humans
View on PubMed DOI

Integrating respiratory microbiome and host immune response through machine learning for respiratory tract infection diagnosis.

NPJ biofilms and microbiomes Sep 12, 2024
At present, the diagnosis of lower respiratory tract infections (LRTIs) is difficult, and there is an urgent need for better diagnostic methods. This study enrolled 136 patients from 2020 to 2021 and collected bronchoalveolar lavage fluid (BALF) spec...
Aged Adult Male Machine Learning Female Klebsiella pneumoniae Microbiota Respiratory Tract Infections Middle Aged Transcriptome Humans Bronchoalveolar Lavage Fluid
View on PubMed DOI

Preventing illegal seafood trade using machine-learning assisted microbiome analysis.

BMC biology Sep 11, 2024
BACKGROUND: Seafood is increasingly traded worldwide, but its supply chain is particularly prone to frauds. To increase consumer confidence, prevent illegal trade, and provide independent validation for eco-labelling, accurate tools for seafood trace...
Seafood Commerce Animals Microbiota Machine Learning Bivalvia
View on PubMed DOI

Semi-supervised meta-learning elucidates understudied molecular interactions.

Communications biology Sep 9, 2024
Many biological problems are understudied due to experimental limitations and human biases. Although deep learning is promising in accelerating scientific discovery, its power compromises when applied to problems with scarcely labeled data and data d...
Supervised Machine Learning Microbiota Deep Learning Humans Computational Biology
View on PubMed DOI

An Explainable Graph Neural Framework to Identify Cancer-Associated Intratumoral Microbial Communities.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Sep 3, 2024
Microbes are extensively present among various cancer tissues and play critical roles in carcinogenesis and treatment responses. However, the underlying relationships between intratumoral microbes and tumors remain poorly understood. Here, a MIcrobia...
Humans Neural Networks, Computer Reproducibility of Results Mice Disease Models, Animal Microbiota Animals Neoplasms
View on PubMed DOI

Machine learning surveillance of foodborne infectious diseases using wastewater microbiome, crowdsourced, and environmental data.

Water research Aug 21, 2024
Clostridium perfringens (CP) is a common cause of foodborne infection, leading to significant human health risks and a high economic burden. Thus, effective CP disease surveillance is essential for preventive and therapeutic interventions; however, c...
Humans Machine Learning Microbiota Wastewater Clostridium perfringens Foodborne Diseases Crowdsourcing
View on PubMed DOI

Using machine learning to identify environmental factors that collectively determine microbial community structure of activated sludge.

Environmental research Jul 16, 2024
Activated sludge (AS) microbial communities are influenced by various environmental variables. However, a comprehensive analysis of how these variables jointly and nonlinearly shape the AS microbial community remains challenging. In this study, we em...
Sewage Machine Learning Microbiota
View on PubMed DOI

Ensemble learning algorithms to elucidate the core microbiome's impact on carbon content and degradation properties at the soil aggregate level.

The Science of the total environment Jul 4, 2024
Soil aggregates are crucial for soil organic carbon (OC) accumulation. This study, utilizing a 32-year fertilization experiment, investigates whether the core microbiome can elucidate variations in carbon content and decomposition across different ag...
Fertilizers Algorithms Machine Learning Soil Microbiota Fungi Soil Microbiology Bacteria Carbon
View on PubMed DOI
Popular Topics
Recent Journals