Integrative digital pathology for personalized medicine: population stratification and early biomarkers findings, consolidating and completing the use of Prostate-Specific Antigen (PSA) and Gleason Score in prostate cancer

Descripción del Articulo

Prostate cancer, although the second most common cancer in men, does not have established biomarkers to predict the risk of relapse and risk of presenting biochemical recurrence. A deeper comprehension of tissue behavior provided by molecular techniques m
Detalles Bibliográficos
Autor: Marin, Laura Elise
Formato: tesis doctoral
Fecha de Publicación:2024
Institución:Pontificia Universidad Católica del Perú
Repositorio:PUCP-Tesis
Lenguaje:inglés
OAI Identifier:oai:tesis.pucp.edu.pe:20.500.12404/30392
Enlace del recurso:http://hdl.handle.net/20.500.12404/30392
Nivel de acceso:acceso abierto
Materia:Próstata--Cáncer
Biomarcadores
Aprendizaje automático (Inteligencia artificial)
Fenotipo
Genoma humano
https://purl.org/pe-repo/ocde/ford#2.00.00
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dc.title.en_EN.fl_str_mv Integrative digital pathology for personalized medicine: population stratification and early biomarkers findings, consolidating and completing the use of Prostate-Specific Antigen (PSA) and Gleason Score in prostate cancer
title Integrative digital pathology for personalized medicine: population stratification and early biomarkers findings, consolidating and completing the use of Prostate-Specific Antigen (PSA) and Gleason Score in prostate cancer
spellingShingle Integrative digital pathology for personalized medicine: population stratification and early biomarkers findings, consolidating and completing the use of Prostate-Specific Antigen (PSA) and Gleason Score in prostate cancer
Marin, Laura Elise
Próstata--Cáncer
Biomarcadores
Aprendizaje automático (Inteligencia artificial)
Fenotipo
Genoma humano
https://purl.org/pe-repo/ocde/ford#2.00.00
title_short Integrative digital pathology for personalized medicine: population stratification and early biomarkers findings, consolidating and completing the use of Prostate-Specific Antigen (PSA) and Gleason Score in prostate cancer
title_full Integrative digital pathology for personalized medicine: population stratification and early biomarkers findings, consolidating and completing the use of Prostate-Specific Antigen (PSA) and Gleason Score in prostate cancer
title_fullStr Integrative digital pathology for personalized medicine: population stratification and early biomarkers findings, consolidating and completing the use of Prostate-Specific Antigen (PSA) and Gleason Score in prostate cancer
title_full_unstemmed Integrative digital pathology for personalized medicine: population stratification and early biomarkers findings, consolidating and completing the use of Prostate-Specific Antigen (PSA) and Gleason Score in prostate cancer
title_sort Integrative digital pathology for personalized medicine: population stratification and early biomarkers findings, consolidating and completing the use of Prostate-Specific Antigen (PSA) and Gleason Score in prostate cancer
author Marin, Laura Elise
author_facet Marin, Laura Elise
author_role author
dc.contributor.advisor.fl_str_mv Casado Peña, Fanny Lys
dc.contributor.author.fl_str_mv Marin, Laura Elise
dc.subject.es_ES.fl_str_mv Próstata--Cáncer
Biomarcadores
Aprendizaje automático (Inteligencia artificial)
Fenotipo
Genoma humano
topic Próstata--Cáncer
Biomarcadores
Aprendizaje automático (Inteligencia artificial)
Fenotipo
Genoma humano
https://purl.org/pe-repo/ocde/ford#2.00.00
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.00.00
description Prostate cancer, although the second most common cancer in men, does not have established biomarkers to predict the risk of relapse and risk of presenting biochemical recurrence. A deeper comprehension of tissue behavior provided by molecular techniques m
publishDate 2024
dc.date.created.none.fl_str_mv 2024
dc.date.accessioned.none.fl_str_mv 2025-04-01T17:50:05Z
dc.date.issued.fl_str_mv 2025-04-01
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12404/30392
url http://hdl.handle.net/20.500.12404/30392
dc.language.iso.none.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/pe/
dc.publisher.es_ES.fl_str_mv Pontificia Universidad Católica del Perú
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A deeper comprehension of tissue behavior provided by molecular techniques mengPontificia Universidad Católica del PerúPEinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/pe/Próstata--CáncerBiomarcadoresAprendizaje automático (Inteligencia artificial)FenotipoGenoma humanohttps://purl.org/pe-repo/ocde/ford#2.00.00Integrative digital pathology for personalized medicine: population stratification and early biomarkers findings, consolidating and completing the use of Prostate-Specific Antigen (PSA) and Gleason Score in prostate cancerinfo:eu-repo/semantics/doctoralThesisreponame:PUCP-Tesisinstname:Pontificia Universidad Católica del Perúinstacron:PUCPSUNEDUDoctor en IngenieríaDoctoradoPontificia Universidad Católica del Perú. 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Integrative digital pathology for personalized medicine: population stratification and early biomarkers findings, consolidating and completing the use of Prostate-Specific Antigen (PSA) and Gleason Score in prostate cancer
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