Advancements in Multiple Myeloma Research: High-Throughput Sequencing Technologies, Omics, and the Role of Artificial Intelligence

dc.accrualPolicyPublicación en cursoes_ES
dc.contributor.authorGutiérrez González, Alejandra
dc.contributor.authordel Hierro, Irene
dc.contributor.authorCariaga Martínez, Ariel Ernesto
dc.date.accessioned2024-11-14T10:43:21Z
dc.date.available2024-11-14T10:43:21Z
dc.date.created2024-11-13
dc.description.abstractMultiple myeloma is a complex and challenging type of blood cancer that affects plasma cells in the bone marrow. In recent years, the development of advanced research techniques, such as omics approaches¿which involve studying large sets of biological data like genes and proteins¿and high-throughput sequencing technologies, has allowed researchers to analyze vast amounts of genetic information rapidly and gain new insights into the disease. Additionally, the advent of artificial intelligence tools has accelerated data analysis, enabling more accurate predictions and improved treatment strategies. This review aims to highlight recent research advances in multiple myeloma made possible by these novel techniques and to provide guidance for researchers seeking effective approaches in this field.es_ES
dc.description.curso2024/2025es_ES
dc.formatapplication/pdfes_ES
dc.identifier.dl2024
dc.identifier.locationN/Aes_ES
dc.identifier.urihttps://hdl.handle.net/20.500.12080/44752
dc.languageenges_ES
dc.publisherMDPIes_ES
dc.rightsCC-BYes_ES
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.eses_ES
dc.titleAdvancements in Multiple Myeloma Research: High-Throughput Sequencing Technologies, Omics, and the Role of Artificial Intelligencees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES

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