An exploration into the diagnostic capabilities of microRNAs for myocardial infarction using machine learning.

Journal: Biology direct

PMID: 39658789

Abstract

BACKGROUND: MicroRNAs (miRNAs) have shown potential as diagnostic biomarkers for myocardial infarction (MI) due to their early dysregulation and stability in circulation after MI. Moreover, they play a crucial role in regulating adaptive and maladaptive responses in cardiovascular diseases, making them attractive targets for potential biomarkers. However, their potential as novel biomarkers for diagnosing cardiovascular diseases requires systematic evaluation.

Authors

Mehrdad Samadishadlou

Department of Medical Nanotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
Reza Rahbarghazi

Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Kaveh Kavousi

Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
Farhad Bani

Department of Medical Nanotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran. bainf@tbzmed.ac.ir.

Keywords

Biomarkers Computational Biology Gene Expression Profiling Humans Machine Learning MicroRNAs Myocardial Infarction Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (39658789)

An exploration into the diagnostic capabilities of microRNAs for myocardial infarction using machine learning.

Abstract

Authors

Keywords

External Resources

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