Gut microbes from the phylogenetically diverse genus Eubacterium and their various contributions to gut health

A Mukherjee, C Lordan, RP Ross, PD Cotter - Gut microbes, 2020 - Taylor & Francis
Over the last two decades our understanding of the gut microbiota and its contribution to
health and disease has been transformed. Among a new 'generation'of potentially beneficial …

A practical guide to amplicon and metagenomic analysis of microbiome data

YX Liu, Y Qin, T Chen, M Lu, X Qian, X Guo… - Protein & cell, 2021 - academic.oup.com
Advances in high-throughput sequencing (HTS) have fostered rapid developments in the
field of microbiome research, and massive microbiome datasets are now being generated …

Personal aging markers and ageotypes revealed by deep longitudinal profiling

S Ahadi, W Zhou, SM Schüssler-Fiorenza Rose… - Nature medicine, 2020 - nature.com
The molecular changes that occur with aging are not well understood,,–. Here, we
performed longitudinal and deep multiomics profiling of 106 healthy individuals from 29 to …

[HTML][HTML] Hallmarks of aging and immunosenescence: connecting the dots

LP Rodrigues, VR Teixeira, T Alencar-Silva… - Cytokine & growth factor …, 2021 - Elsevier
Aging is a natural physiological process that features various and variable challenges,
associated with loss of homeostasis within the organism, often leading to negative …

The microbiome and aging

B Bana, F Cabreiro - Annual review of genetics, 2019 - annualreviews.org
Aging is a natural process of organismal decay that underpins the development of myriad
diseases and disorders. Extensive efforts have been made to understand the biology of …

Explainable artificial intelligence (xai) for internet of things: a survey

I Kök, FY Okay, Ö Muyanlı… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) and machine learning (ML) are widely employed to make the
solutions more accurate and autonomous in many smart and intelligent applications in the …

A framework for effective application of machine learning to microbiome-based classification problems

BD Topçuoğlu, NA Lesniak, MT Ruffin IV, J Wiens… - MBio, 2020 - Am Soc Microbiol
Machine learning (ML) modeling of the human microbiome has the potential to identify
microbial biomarkers and aid in the diagnosis of many diseases such as inflammatory bowel …

Explainable artificial intelligence for cybersecurity: a literature survey

F Charmet, HC Tanuwidjaja, S Ayoubi… - Annals of …, 2022 - Springer
With the extensive application of deep learning (DL) algorithms in recent years, eg, for
detecting Android malware or vulnerable source code, artificial intelligence (AI) and …

Microbiome evolution during host aging

FDD Aleman, DR Valenzano - PLoS pathogens, 2019 - journals.plos.org
Commensal microbes and their multicellular eukaryotic hosts constitute a highly integrated
system—termed the holobiont [1]—which undergoes dynamic changes through time as it …

Machine learning methods for microbiome studies

J Namkung - Journal of Microbiology, 2020 - Springer
Researches on the microbiome have been actively conducted worldwide and the results
have shown human gut bacterial environment significantly impacts on immune system …