AIMC Topic: Microbiota
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Microbial dysbiosis and its diagnostic potential in androgenetic alopecia: insights from multi-kingdom sequencing and machine learning.
mSystems
Jun 17, 2025
Androgenetic alopecia (AGA), the most common form of hair loss, has been linked to dysbiosis of the scalp microbiome. In this study, we collected microbiome samples from the frontal baldness and occipital regions of patients with varying stages of AG...
The Biogeography of Soil Bacteria in Australia Exhibits Greater Resistance to Climate Change Than Fungi.
Global change biology
Jun 1, 2025
Soil microorganisms are crucial to ecosystem health, and their composition and distribution are shaped by a range of environmental factors. However, the effects of accelerating climate change on soil microbiomes remain under-explored. This study exam...
DiMB-RE: mining the scientific literature for diet-microbiome associations.
Journal of the American Medical Informatics Association : JAMIA
Jun 1, 2025
OBJECTIVES: To develop a corpus annotated for diet-microbiome associations from the biomedical literature and train natural language processing (NLP) models to identify these associations, thereby improving the understanding of their role in health a...
KNDM: A Knowledge Graph Transformer and Node Category Sensitive Contrastive Learning Model for Drug and Microbe Association Prediction.
Journal of chemical information and modeling
May 12, 2025
It has been proven that the microbiome in human bodies can promote or inhibit the treatment effects of the drugs by affecting their toxicities and activities. Therefore, identifying drug-related microbes helps in understanding how drugs exert their f...
Investigating the Impact of Antibiotics on Environmental Microbiota Through Machine Learning Models.
IET systems biology
Jan 1, 2025
Antibiotic pollution in the environment can significantly impact soil microorganisms, such as altering the soil microbial community or emerging antibiotic-resistant bacteria. We propose three machine learning (ML) methods to investigate antibiotics' ...
Techniques for learning and transferring knowledge for microbiome-based classification and prediction: review and assessment.
Briefings in bioinformatics
Nov 22, 2024
The volume of microbiome data is growing at an exponential rate, and the current methodologies for big data mining are encountering substantial obstacles. Effectively managing and extracting valuable insights from these vast microbiome datasets has e...
AI in microbiome-related healthcare.
Microbial biotechnology
Nov 1, 2024
Artificial intelligence (AI) has the potential to transform clinical practice and healthcare. Following impressive advancements in fields such as computer vision and medical imaging, AI is poised to drive changes in microbiome-based healthcare while ...
Predicting disease-associated microbes based on similarity fusion and deep learning.
Briefings in bioinformatics
Sep 23, 2024
Increasing studies have revealed the critical roles of human microbiome in a wide variety of disorders. Identification of disease-associated microbes might improve our knowledge and understanding of disease pathogenesis and treatment. Computational p...
AI in microbiome research: Where have we been, where are we going?
Cell host & microbe
Aug 14, 2024
Artificial intelligence (AI), a subdiscipline of computer science that develops machines or software that mimic characteristically human cognitive functions, is currently undergoing a revolution. In this commentary article, I will give my perspective...
Spatio-temporal changes of small protist and free-living bacterial communities in a temperate dimictic lake: insights from metabarcoding and machine learning.
FEMS microbiology ecology
Jul 12, 2024
Microbial communities, which include prokaryotes and protists, play an important role in aquatic ecosystems and influence ecological processes. To understand these communities, metabarcoding provides a powerful tool to assess their taxonomic composit...
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