AIMC Topic: RNA, Ribosomal, 16S
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Chronological age estimation from human microbiomes with transformer-based Robust Principal Component Analysis.
Communications biology
Aug 6, 2025
Deep learning for microbiome analysis has shown potential for understanding microbial communities and human phenotypes. Here, we propose an approach, Transformer-based Robust Principal Component Analysis(TRPCA), which leverages the strengths of trans...
Personalized colorectal cancer risk assessment through explainable AI and Gut microbiome profiling.
Gut microbes
Aug 4, 2025
The clinical adenoma - carcinoma progression represents a well-established framework for understanding colorectal cancer (CRC) development, although the molecular mechanisms underlying this transition remain only partially understood. Increasing evid...
Skin Microbiome alterations in heroin users revealed by full-length 16S rRNA sequencing.
BMC microbiology
Jul 30, 2025
BACKGROUND: Identifying key characteristics of unknown suspects, such as age, height, and drug use, is essential for advancing forensic investigations.
Gut microbiota and SCFAs improve the treatment efficacy of chemotherapy and immunotherapy in NSCLC.
NPJ biofilms and microbiomes
Jul 28, 2025
The role of gut dysbiosis in shaping immunotherapy responses is well-recognized, yet its effect on the therapeutic efficacy of chemotherapy and immunotherapy combinations remains poorly understood. We analyzed gut microbiota in non-small cell lung ca...
Nanopore full length 16S rRNA gene sequencing increases species resolution in bacterial biomarker discovery.
Scientific reports
Jul 21, 2025
Discovery of disease-related bacterial biomarkers could be a useful approach for early prevention or diagnosis of various afflictions, such as colorectal cancer. This typically involves analyzing small regions of the 16S rRNA gene (e.g. V3V4) through...
Application of image guided analyses to monitor fecal microbial composition and diversity in a human cohort.
Scientific reports
Jul 19, 2025
The critical role of gut microbiota in human health and disease has been increasingly illustrated over the past decades, with a significant amount of research demonstrating an unmet need for self-monitor of the fecal microbial composition in an easil...
Ensemble learning for microbiome-based caries diagnosis: multi-group modeling and biological interpretation from salivary and plaque metagenomic data.
BMC oral health
Jul 17, 2025
BACKGROUND: Oral microbiota is a major etiological factor in the development of dental caries. Next-generation sequencing techniques have been widely used, generating vast amounts of data which is underexplored. The advancement of artificial intellig...
Interpretive prediction of hyperuricemia and gout patients via machine learning analysis of human gut microbiome.
BMC microbiology
Jul 10, 2025
Hyperuricemia (HUA) and gout result from imbalances in uric acid metabolism and are closely associated with the gut microbiota. Advanced analytical methods facilitate the exploration of microbiota complexity. In this study, 16S rRNA sequencing data f...
Prediction of postoperative infection through early-stage salivary microbiota following kidney transplantation using machine learning techniques.
Renal failure
Jul 3, 2025
Kidney transplantation (KT) is an effective treatment for end-stage renal disease; however, the lifelong immunosuppressive regimen increases the risk of infection, presenting significant clinical, and economic challenges. Identifying predictive bioma...
Machine learning-based identification of wastewater treatment plant-specific microbial indicators using 16S rRNA gene sequencing.
Scientific reports
Jul 3, 2025
Effluent released from municipal wastewater treatment plants reflects the microbial communities responsible for degrading and removing contaminants within the plants. Monitoring this effluent offers essential insights into its environmental impacts, ...
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