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[00847] Acute Lymphoblastic Leukemia diagnosis and treatment: a mathematical analysis

  • Session Time & Room : 5D (Aug.25, 15:30-17:10) @G306
  • Type : Contributed Talk
  • Abstract : Despite the recent medical advances, treatments are unsuccessful in 15-20% of cases in Acute Lymphoblastic Leukemia ( ALL ) patients. The main aim of our study is to analyse data from bone marrow samples and to use artificial intelligence to improve current techniques of diagnosis in ALL protocols. Using machine learning techniques, our results predict bone marrow behavior and allow us to classify patients depending on their relapse risk.
  • Classification : 34A12, 92-10
  • Format : Online Talk on Zoom
  • Author(s) :
    • Ana Niño-López (Department of Mathematics, Universidad de Cádiz)
    • Salvador Chulián (University of Cádiz)
    • Álvaro Martínez-Rubio (Department of Mathematics, Universidad de Cádiz)
    • María Rosa (Department of Mathematics, Universidad de Cádiz)