AIMC Topic: Exosomes
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Urinary exosomal viral microRNA as a marker of BK virus nephropathy in kidney transplant recipients.
PloS one
Dec 21, 2017
OBJECTIVE: Bkv-miR-B1-5p, one of the microRNAs encoded by BK virus, was recently reported to be elevated in the blood among the patients with BK virus nephropathy (BKVN). Urinary exosome was suggested to be a possible source of biomarker for kidney d...
Clustering and Candidate Motif Detection in Exosomal miRNAs by Application of Machine Learning Algorithms.
Interdisciplinary sciences, computational life sciences
Jul 22, 2017
BACKGROUND: The clustering pattern and motifs give immense information about any biological data. An application of machine learning algorithms for clustering and candidate motif detection in miRNAs derived from exosomes is depicted in this paper. Re...
Microfluidics-based label-free SERS profiling of exosomes with machine learning for osteosarcoma diagnosis.
Talanta
Nov 1, 2025
Osteosarcoma (OS) calls for early diagnosis to significantly improve patient survival rates. Exosomes hold significant potential as noninvasive biomarkers for the early diagnosis of cancer. Here, we design a microfluidic device to purify and analyze ...
The emerging role of artificial intelligence applied to exosome analysis: from cancer biology to other biomedical fields.
Life sciences
Aug 15, 2025
In recent years, exosomes versatility has prompted their study in the biomedical field for diagnostic, prognostic, and therapeutic applications. Exosomes are bi-lipid small extracellular vesicles (30-150 nm) secreted by various cell types, containing...
Identification of exosome-related genes in NSCLC via integrated bioinformatics and machine learning analysis.
Scientific reports
Jul 2, 2025
Exosomes are crucial in the development of non-small cell lung cancer (NSCLC), yet exosome-associated genes in NSCLC remain insufficiently explored. The present study identified 59 exosome-associated differentially expressed genes (EA-DEGs) from the ...
Accurate Diagnosis of Colorectal Cancer Using a Combination of Lectin-Induced Recombinase Polymerase Amplification and CRISPR/Cas12a Assay on a Point-of-Care Testing Platform with Deep Learning Assistant.
Analytical chemistry
Jul 1, 2025
Specific glycosylation patterns on exosome surfaces represent novel diagnostic biomarkers for cancer liquid biopsy. Lectins can induce exosome aggregation through multiple bindings with exosomal glycoproteins. In this work, we developed a one-pot lec...
Machine learning-driven identification of exosome- related biomarkers in head and neck squamous cell carcinoma.
Frontiers in immunology
Jan 1, 2025
BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is a common cancer associated with elevated mortality rates. Exosomes, diminutive extracellular vesicles, significantly contribute to tumour development, immunological evasion, and treatment r...
Machine learning-based analysis identifies and validates serum exosomal proteomic signatures for the diagnosis of colorectal cancer.
Cell reports. Medicine
Aug 20, 2024
The potential of serum extracellular vesicles (EVs) as non-invasive biomarkers for diagnosing colorectal cancer (CRC) remains elusive. We employed an in-depth 4D-DIA proteomics and machine learning (ML) pipeline to identify key proteins, PF4 and AACT...
Tri-modal liquid biopsy: Combinational analysis of circulating tumor cells, exosomes, and cell-free DNA using machine learning algorithm.
Clinical and translational medicine
Aug 1, 2021
DM3Loc: multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism.
Nucleic acids research
May 7, 2021
Subcellular localization of messenger RNAs (mRNAs), as a prevalent mechanism, gives precise and efficient control for the translation process. There is mounting evidence for the important roles of this process in a variety of cellular events. Computa...
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