Machine learning-assisted radiogenomic analysis for miR-15a expression prediction in renal cell carcinoma

Machine learning-assisted radiogenomic analysis for miR-15a expression prediction in renal cell carcinoma

Abstract Background Renal cell carcinoma (RCC) is a prevalent malignancy with highly variable outcomes. MicroRNA-15a (miR-15a) has emerged as a promising prognostic biomarker in RCC, linked to angiogenesis, apoptosis, and proliferation. Radiogenomics integrates radiological features with molecular d...

Full description

Saved in:
Bibliographic Details
Main Authors: Yulian Mytsyk, Paweł Kowal, Yuriy Kobilnyk, Mateusz Lesny, Michał Skrzypczyk, Dmytro Stroj, Victor Dosenko, Olena Kucheruk
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Cancer
Subjects:
Renal cell carcinoma
MicroRNA-15a
Radiogenomics
Machine learning
Biomarkers
Imaging features
Online Access:https://doi.org/10.1186/s12885-025-13963-x
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items