Results 91 to 100 of about 169,901 (265)
Advanced Intelligent Discovery, EarlyView.Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez +19 more
wiley +1 more source
Paired metagenomic and chemical evaluation of aflatoxin-contaminated dog kibble
Frontiers in Veterinary ScienceIntroductionIdentification of chemical toxins from complex or highly processed foods can present ‘needle in the haystack’ challenges for chemists. Metagenomic data can be used to guide chemical toxicity evaluations by providing DNA-based description of ...
Andrea Ottesen +8 more
doaj +1 more source
A framework for human microbiome research. [PDF]
, 2012 A variety of microbial communities and their genes (the microbiome) exist throughout the human body, with fundamental roles in human health and disease. The National Institutes of Health (NIH)-funded Human Microbiome Project Consortium has established a ...
Human Microbiome Project Consortium
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International Forum of Allergy &Rhinology, EarlyView.ABSTRACT Background Although shifts in nasal microbiota have been well‐documented in inflammatory upper airway conditions, microbiota tumor‐associated alterations remain uncharacterized. This study is the first to compare sinonasal microbiota profiles of patients with malignant tumors (MT), benign tumors (BT), and controls, offering insights into tumor‐
Evan A. Patel +13 more
wiley +1 more source
DiagnosticsIn forensic sciences, body fluids, or biological traces, are a major source of information, and their identification can play a decisive role in criminal investigations.
Audrey Gouello +6 more
doaj +1 more source
, 2014 Human associated microbial communities exert tremendous influence over human health and disease. With modern metagenomic sequencing methods it is possible to follow the relative abundance of microbes in a community over time.
Fisher, Charles K., Mehta, Pankaj
core +3 more sources
Advanced NanoBiomed Research, EarlyView.This review highlights how autoimmune diseases arise from intertwined immunological, genetic, and environmental factors, emphasizing gut microbiota dysbiosis as a pivotal driver. It outlines emerging nanotechnology‐based strategies—such as liposomes, hydrogels, and polymeric nanoparticles—that enhance targeted drug delivery, minimize systemic toxicity,
Md. Meraj Ansari +5 more
wiley +1 more source
Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks
, 2017 Deep learning (DL) techniques have had unprecedented success when applied to images, waveforms, and texts to cite a few. In general, when the sample size (N) is much greater than the number of features (d), DL outperforms previous machine learning (ML ...
Chevaleyre, Yann +4 more
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Soil Viruses: A New Hope. [PDF]
, 2019 As abundant members of microbial communities, viruses impact microbial mortality, carbon and nutrient cycling, and food web dynamics. Although most of our information about viral communities comes from marine systems, evidence is mounting to suggest that
Emerson, Joanne B
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