AIMC Topic: MicroRNAs
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Machine learning and experimental analyses identified miRNA expression models associated with metastatic osteosarcoma.
Biochimica et biophysica acta. Molecular basis of disease
Jul 20, 2024
Osteosarcoma (OS), as the most common primary bone cancer, has a high invasiveness and metastatic potential, therefore, it has a poor prognosis. This study identified early diagnostic biomarkers using miRNA expression profiles associated with osteosa...
Artificial Intelligence-Enhanced Exosomal-Derived MicroRNA From Developing Teeth.
International dental journal
Jul 18, 2024
Role of different omics data in the diagnosis of schizophrenia disorder: A machine learning study.
Schizophrenia research
Jul 14, 2024
Schizophrenia is a serious mental disorder that affects millions of people worldwide. This disorder slowly disintegrates thinking ability and changes behaviours of patients. These patients will show some psychotic symptoms such as hallucinations, del...
Machine Learning-Based Etiologic Subtyping of Ischemic Stroke Using Circulating Exosomal microRNAs.
International journal of molecular sciences
Jun 20, 2024
Ischemic stroke is a major cause of mortality worldwide. Proper etiological subtyping of ischemic stroke is crucial for tailoring treatment strategies. This study explored the utility of circulating microRNAs encapsulated in extracellular vesicles (E...
Dynamic Addressing Molecular Robot (DAMR): An Effective and Efficient Trial-and-Error Approach for the Analysis of Single Nucleotide Polymorphisms.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Jun 17, 2024
Accurate and efficient molecular recognition plays a crucial role in the fields of molecular detection and diagnostics. Conventional trial-and-error-based molecular recognition approaches have always been challenged in distinguishing minimal differen...
MicroRNAs: circulating biomarkers for the early detection of imperceptible cancers via biosensor and machine-learning advances.
Oncogene
Jun 5, 2024
This review explores the topic of microRNAs (miRNAs) for improved early detection of imperceptible cancers, with potential to advance precision medicine and improve patient outcomes. Historical research exploring miRNA's role in cancer detection coll...
A miRNA-disease association prediction model based on tree-path global feature extraction and fully connected artificial neural network with multi-head self-attention mechanism.
BMC cancer
Jun 5, 2024
BACKGROUND: MicroRNAs (miRNAs) emerge in various organisms, ranging from viruses to humans, and play crucial regulatory roles within cells, participating in a variety of biological processes. In numerous prediction methods for miRNA-disease associati...
A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions.
IEEE/ACM transactions on computational biology and bioinformatics
Jun 5, 2024
MicroRNAs (miRNAs) are an important class of non-coding RNAs that play an essential role in the occurrence and development of various diseases. Identifying the potential miRNA-disease associations (MDAs) can be beneficial in understanding disease pat...
Identifying miRNA as biomarker for breast cancer subtyping using association rule.
Computers in biology and medicine
Jun 3, 2024
- This paper presents a comprehensive study focused on breast cancer subtyping, utilizing a multifaceted approach that integrates feature selection, machine learning classifiers, and miRNA regulatory networks. The feature selection process begins wit...
A miRNA-based epigenetic molecular clock for biological skin-age prediction.
Archives of dermatological research
Jun 1, 2024
Skin aging is one of the visible characteristics of the aging process in humans. In recent years, different biological clocks have been generated based on protein or epigenetic markers, but few have focused on biological age in the skin. Arrest the a...
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