| Fecha de publicación: |
2021
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| Objetivos: |
To demonstrate the usefulness of a radiomics-based machine learning approach from mpMRI to assess PCa aggressiveness and tumor heterogeneity (i.e., Gleason score and expression of nonepithelial-reactive stroma elements).
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| Instrumento: |
Postdoctorado Becas Chile
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| Año de Inicio/Término: |
2021-2024
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| Financiamiento/Sponsor: |
CONICYT
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| Rol del Usuario: |
INVESTIGADOR(A) RESPONSABLE
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| Notas: |
Our findings will help improve the diagnosis and treatment of prostate cancer, enabling more informed clinical decision-making and enhancing patient care.
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Portal del Investigador