Archivio dell'Università Alfonso X El Sabio

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

Mostra i principali dati dell'item

APA

Gutiérrez-González, Alejandra & del Hierro, Irene & Cariaga-Martínez, Ariel Ernesto .Advancements in Multiple Myeloma Research: High-Throughput Sequencing Technologies, Omics, and the Role of Artificial Intelligence.

ISO 690

Gutiérrez-González, Alejandra & del Hierro, Irene & Cariaga-Martínez, Ariel Ernesto. Advancements in Multiple Myeloma Research: High-Throughput Sequencing Technologies, Omics, and the Role of Artificial Intelligence.

https://hdl.handle.net/20.500.12080/44752
dc.contributor.author Gutiérrez-González, Alejandra
dc.contributor.author del Hierro, Irene
dc.contributor.author Cariaga-Martínez, Ariel Ernesto
dc.date.accessioned 2024-11-14T10:43:21Z
dc.date.available 2024-11-14T10:43:21Z
dc.date.created 2024-11-13
dc.identifier.uri https://hdl.handle.net/20.500.12080/44752
dc.description.abstract Multiple 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.format application/pdf es_ES
dc.language eng es_ES
dc.publisher MDPI es_ES
dc.rights CC-BY es_ES
dc.rights.uri http://creativecommons.org/licenses/by/4.0/deed.es es_ES
dc.title Advancements in Multiple Myeloma Research: High-Throughput Sequencing Technologies, Omics, and the Role of Artificial Intelligence es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.description.curso 2024/2025 es_ES
dc.rights.accessrights info:eu-repo/semantics/openAccess es_ES
dc.identifier.dl 2024
dc.accrualPolicy Publicación en curso es_ES
dc.identifier.location N/A es_ES


Files in questo item

Questo item appare nelle seguenti collezioni

Mostra i principali dati dell'item

CC-BY Except where otherwise noted, this item's license is described as CC-BY

Cerca in DSpace


Ricerca

My Account

Social Media