[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.
