Healthcare data for achieving a more personalized treatment of chronic kidney disease

Producción Científica

Bibliographic Details
Authors: Herrera Gómez, Francisco Magno; Álvarez González, Francisco Javier
Format: Article
Status:Published version
Publication date:2021
Country:España
Institution:Universidad de Valladolid
Repository:UVaDOC. Repositorio Documental de la Universidad de Valladolid
OAI Identifier:oai:uvadoc.uva.es:10324/59703
Online Access:https://doi.org/10.3390/biomedicines9050488
https://uvadoc.uva.es/handle/10324/59703
Access Level:Open access
Keyword:Nephrology
Chronic renal failure
Kidneys - Diseases
Riñones
Biomarkers
Medical care - Data processing
3205.06 Nefrología
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author Herrera Gómez, Francisco Magno
author2 Álvarez González, Francisco Javier
author2_role author
author_browse Herrera Gómez, Francisco Magno
Álvarez González, Francisco Javier
author_facet Herrera Gómez, Francisco Magno
Álvarez González, Francisco Javier
author_role author
collection UVaDOC. Repositorio Documental de la Universidad de Valladolid
description Producción Científica
eu_rights_str_mv openAccess
format article
id ES_ce1485885c1b2a8a3dbce4e02fa6cca2
institution Universidad de Valladolid
instname_str Universidad de Valladolid
network_acronym_str ES
network_name_str España
oai_identifier_str oai:uvadoc.uva.es:10324/59703
publishDate 2021
publishDateSort 2021
publisher MDPI
publisherStr MDPI
reponame_str UVaDOC. Repositorio Documental de la Universidad de Valladolid
spelling Healthcare data for achieving a more personalized treatment of chronic kidney disease Herrera Gómez, Francisco Magno Álvarez González, Francisco Javier Nephrology Chronic renal failure Kidneys - Diseases Riñones Biomarkers Medical care - Data processing 3205.06 Nefrología Producción Científica The current concept of healthcare incites a more personalized treatment of diseases. To this aim, biomarkers are needed to improve decision-making facing chronic kidney disease (CKD) patients. Prognostic markers provided by real-world (observational) evidence are proposed in this Special Issue entitled “Biomarkers in Chronic Kidney Disease”, with the intention to identify high-risk patients. These markers do not target measurable parameters in patients but clinical endpoints that may be in turn transformed to benefits under the effect of future interventions. MDPI https://doi.org/10.3390/biomedicines9050488 https://uvadoc.uva.es/handle/10324/59703
spellingShingle Healthcare data for achieving a more personalized treatment of chronic kidney disease
Herrera Gómez, Francisco Magno
Nephrology
Chronic renal failure
Kidneys - Diseases
Riñones
Biomarkers
Medical care - Data processing
3205.06 Nefrología
status_str publishedVersion
title Healthcare data for achieving a more personalized treatment of chronic kidney disease
title_full Healthcare data for achieving a more personalized treatment of chronic kidney disease
title_fullStr Healthcare data for achieving a more personalized treatment of chronic kidney disease
title_full_unstemmed Healthcare data for achieving a more personalized treatment of chronic kidney disease
title_short Healthcare data for achieving a more personalized treatment of chronic kidney disease
title_sort Healthcare data for achieving a more personalized treatment of chronic kidney disease
topic Nephrology
Chronic renal failure
Kidneys - Diseases
Riñones
Biomarkers
Medical care - Data processing
3205.06 Nefrología
topic_facet Nephrology
Chronic renal failure
Kidneys - Diseases
Riñones
Biomarkers
Medical care - Data processing
3205.06 Nefrología
url https://doi.org/10.3390/biomedicines9050488
https://uvadoc.uva.es/handle/10324/59703