Evaluation of matrix metalloproteases by artificial intelligence techniques in negative biopsies as new diagnostic strategy in prostate cancer

dc.contributor.author	Eiro, Noemí
dc.contributor.author	Medina, A.
dc.contributor.author	González, L. O.
dc.contributor.author	Fraile, M.
dc.contributor.author	Palacios, A.
dc.contributor.author	Escaf, S.
dc.contributor.author	Fernández Gómez, Jesús María
dc.contributor.author	Vizoso Piñeiro, Francisco José
dc.date.accessioned	2023-11-07T09:58:20Z
dc.date.available	2023-11-07T09:58:20Z
dc.date.issued	2023
dc.identifier.citation	International Journal of Molecular Sciences, 24(8) (2023); doi:10.3390/ijms24087022
dc.identifier.issn	1661-6596
dc.identifier.uri	https://hdl.handle.net/10651/70089
dc.language.iso	eng
dc.relation.ispartof	International Journal of Molecular Sciences
dc.rights	© 2023 Los autores
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158007013&doi=10.3390%2fijms24087022&partnerID=40&md5=802ced5c557eae87833ca701907a729a
dc.title	Evaluation of matrix metalloproteases by artificial intelligence techniques in negative biopsies as new diagnostic strategy in prostate cancer
dc.type	journal article
dc.identifier.doi	10.3390/ijms24087022
dc.relation.publisherversion	http://dx.doi.org/10.3390/ijms24087022
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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