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[00892] Predicting response to pediatric leukemia with flow cytometry data

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @A601
  • Type : Contributed Talk
  • Abstract : 15% of children with B-cell acute lymphoblastic leukemia fail to achieve response or long-term remission. With new treatments being developed to provide an alternative for this subset of patients, an improved risk classification at diagnosis can help to plan and prepare for this eventuality. Flow cytometry is currently used to characterize the leukemic clone but it has no prognosis value. In this work we use flow cytometry data at diagnosis from 250 pediatric patients from hospitals in Spain to find features associated with response by means of an array of computational methods.
  • Classification : 92Bxx
  • Author(s) :
    • Alvaro Martínez-Rubio (University of Cadiz)
    • Salvador Chulián (University of Cádiz)
    • Ana Niño-López (Department of Mathematics, Universidad de Cádiz)
    • Víctor Manuel Pérez-García (University of Castilla-La Mancha)
    • María Rosa (University of Cadiz)