Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma
Abstract Background Glioblastoma (GBM) is a highly aggressive brain tumor associated with a poor patient prognosis. The survival rate remains low despite standard therapies, highlighting the urgent need for novel treatment strategies. Advanced imaging techniques, particularly magnetic resonance imag...
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Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
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Series: | Journal of Translational Medicine |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12967-025-06101-5 |
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