Advancements in Multiple Myeloma Research: High-Throughput Sequencing Technologies, Omics, and the Role of Artificial Intelligence
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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Biology |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-7737/13/11/923 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846154264491065344 |
|---|---|
| author | Alejandra Gutiérrez-González Irene Del Hierro Ariel Ernesto Cariaga-Martínez |
| author_facet | Alejandra Gutiérrez-González Irene Del Hierro Ariel Ernesto Cariaga-Martínez |
| author_sort | Alejandra Gutiérrez-González |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a2100b4270264b3e8d358833f8531e5a |
| institution | Kabale University |
| issn | 2079-7737 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biology |
| spelling | doaj-art-a2100b4270264b3e8d358833f8531e5a2024-11-26T17:52:28ZengMDPI AGBiology2079-77372024-11-01131192310.3390/biology13110923Advancements in Multiple Myeloma Research: High-Throughput Sequencing Technologies, Omics, and the Role of Artificial IntelligenceAlejandra Gutiérrez-González0Irene Del Hierro1Ariel Ernesto Cariaga-Martínez2DS-OMICS—Data Science and Omics, AI-Driven Biomedicine Group, Universidad Alfonso X el Sabio, 28619 Villanueva de la Cañada, SpainDS-OMICS—Data Science and Omics, AI-Driven Biomedicine Group, Universidad Alfonso X el Sabio, 28619 Villanueva de la Cañada, SpainDS-OMICS—Data Science and Omics, AI-Driven Biomedicine Group, Universidad Alfonso X el Sabio, 28619 Villanueva de la Cañada, SpainMultiple 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.https://www.mdpi.com/2079-7737/13/11/923multiple myelomabiomarkersdiagnosticsprognosisnext-generation sequencingthird-generation sequencing |
| spellingShingle | Alejandra Gutiérrez-González Irene Del Hierro Ariel Ernesto Cariaga-Martínez Advancements in Multiple Myeloma Research: High-Throughput Sequencing Technologies, Omics, and the Role of Artificial Intelligence Biology multiple myeloma biomarkers diagnostics prognosis next-generation sequencing third-generation sequencing |
| title | Advancements in Multiple Myeloma Research: High-Throughput Sequencing Technologies, Omics, and the Role of Artificial Intelligence |
| title_full | Advancements in Multiple Myeloma Research: High-Throughput Sequencing Technologies, Omics, and the Role of Artificial Intelligence |
| title_fullStr | Advancements in Multiple Myeloma Research: High-Throughput Sequencing Technologies, Omics, and the Role of Artificial Intelligence |
| title_full_unstemmed | Advancements in Multiple Myeloma Research: High-Throughput Sequencing Technologies, Omics, and the Role of Artificial Intelligence |
| title_short | Advancements in Multiple Myeloma Research: High-Throughput Sequencing Technologies, Omics, and the Role of Artificial Intelligence |
| title_sort | advancements in multiple myeloma research high throughput sequencing technologies omics and the role of artificial intelligence |
| topic | multiple myeloma biomarkers diagnostics prognosis next-generation sequencing third-generation sequencing |
| url | https://www.mdpi.com/2079-7737/13/11/923 |
| work_keys_str_mv | AT alejandragutierrezgonzalez advancementsinmultiplemyelomaresearchhighthroughputsequencingtechnologiesomicsandtheroleofartificialintelligence AT irenedelhierro advancementsinmultiplemyelomaresearchhighthroughputsequencingtechnologiesomicsandtheroleofartificialintelligence AT arielernestocariagamartinez advancementsinmultiplemyelomaresearchhighthroughputsequencingtechnologiesomicsandtheroleofartificialintelligence |