P967: A MACHINE LEARNING MODEL FOR RISK PREDICTION IN MULTIPLE MYELOMA PROGRESSING AFTER THE FIRST LINE OF THERAPY

Míreanna comhchosúla

• Prognostic Stratification of Multiple Myeloma Using Clinicogenomic Models: Validation and Performance Analysis of the IAC-50 Model
  de réir: Adrián Mosquera Orgueira, et al.
  Foilsithe / Cruthaithe: (2022-08-01)
• How artificial intelligence revolutionizes the world of multiple myeloma
  de réir: Martha Romero, et al.
  Foilsithe / Cruthaithe: (2024-02-01)
• Unsupervised machine learning improves risk stratification in newly diagnosed multiple myeloma: an analysis of the Spanish Myeloma Group
  de réir: Adrian Mosquera Orgueira, et al.
  Foilsithe / Cruthaithe: (2022-04-01)
• New Recurrent Structural Aberrations in the Genome of Chronic Lymphocytic Leukemia Based on Exome-Sequencing Data
  de réir: Adrián Mosquera Orgueira, et al.
  Foilsithe / Cruthaithe: (2019-09-01)
• Efficacy of Bortezomib as First-Line Treatment for Patients with Multiple Myeloma
  de réir: Utkarsh Painuly, et al.
  Foilsithe / Cruthaithe: (2013-02-01)