Personalized Risk Schemes and Machine Learning to Empower Genomic Prognostication Models in Myelodysplastic Syndromes

Myelodysplastic syndromes (MDS) are characterized by variable clinical manifestations and outcomes. Several prognostic systems relying on clinical factors and cytogenetic abnormalities have been developed to help stratify MDS patients into different risk categories of distinct prognoses and therapeu...

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Detalles Bibliográficos
Autores principales: Awada, Hussein, Gurnari, Carmelo, Durmaz, Arda, Awada, Hassan, Pagliuca, Simona, Visconte, Valeria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8911403/
https://www.ncbi.nlm.nih.gov/pubmed/35269943
http://dx.doi.org/10.3390/ijms23052802

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8911403/
https://www.ncbi.nlm.nih.gov/pubmed/35269943
http://dx.doi.org/10.3390/ijms23052802

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