AIMC Topic: Gastrointestinal Microbiome
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Deep learning methods in metagenomics: a review.
Microbial genomics
Apr 1, 2024
The ever-decreasing cost of sequencing and the growing potential applications of metagenomics have led to an unprecedented surge in data generation. One of the most prevalent applications of metagenomics is the study of microbial environments, such a...
Understanding gut microbiome-based machine learning platforms: A review on therapeutic approaches using deep learning.
Chemical biology & drug design
Mar 1, 2024
Human beings possess trillions of microbial cells in a symbiotic relationship. This relationship benefits both partners for a long time. The gut microbiota helps in many bodily functions from harvesting energy from digested food to strengthening bioc...
A comparative study of supervised and unsupervised machine learning algorithms applied to human microbiome.
La Clinica terapeutica
Jan 1, 2024
BACKGROUND: The human microbiome, consisting of diverse bacte-rial, fungal, protozoan and viral species, exerts a profound influence on various physiological processes and disease susceptibility. However, the complexity of microbiome data has present...
Tracing human life trajectory using gut microbial communities by context-aware deep learning.
Briefings in bioinformatics
Jan 19, 2023
The gut microbial communities are highly plastic throughout life, and the human gut microbial communities show spatial-temporal dynamic patterns at different life stages. However, the underlying association between gut microbial communities and time-...
Identification of antimicrobial peptides from the human gut microbiome using deep learning.
Nature biotechnology
Jun 1, 2022
Human gut microbiome aging clocks based on taxonomic and functional signatures through multi-view learning.
Gut microbes
Jan 1, 2022
The human gut microbiome is a complex ecosystem that is closely related to the aging process. However, there is currently no reliable method to make full use of the metagenomics data of the gut microbiome to determine the age of the host. In this stu...
Artificial intelligence and metagenomics in intestinal diseases.
Journal of gastroenterology and hepatology
Apr 1, 2021
Gut microbiota has been shown to associate with the development of gastrointestinal diseases. In the last decade, development in whole metagenome sequencing and 16S rRNA sequencing technology has dramatically accelerated the gut microbiome's research...
Applying artificial intelligence in the microbiome for gastrointestinal diseases: A review.
Journal of gastroenterology and hepatology
Apr 1, 2021
For a long time, gut bacteria have been recognized for their important roles in the occurrence and progression of gastrointestinal diseases like colorectal cancer, and the ever-increasing amounts of microbiome data combined with other high-quality cl...
Machine learning on microbiome research in gastrointestinal cancer.
Journal of gastroenterology and hepatology
Apr 1, 2021
Gastrointestinal cancer maintains the highest incidence and mortality rate among all cancers globally. In addition to genetic causes, it has been reported that individuals' diet and composition of the gastrointestinal microbiome have profound impacts...
Gut Microbiota in T1DM-Onset Pediatric Patients: Machine-Learning Algorithms to Classify Microorganisms as Disease Linked.
The Journal of clinical endocrinology and metabolism
Sep 1, 2020
AIMS: The purpose of this work is to find the gut microbial fingerprinting of pediatric patients with type 1 diabetes.
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