Mathematical Models and Data Analysis on Lymphoblastic Leukemia

  1. Salvador Chulián García 1
  1. 1 Universidad de Cádiz
    info

    Universidad de Cádiz

    Cádiz, España

    ROR https://ror.org/04mxxkb11

Actas:
ICIAM 2019: 9th International Congress on Industrial and Applied Mathematics

Editorial: Sociedad Española de Matemática Aplicada

Año de publicación: 2019

Páginas: 254

Tipo: Aportación congreso

GOOGLE SCHOLAR lock_openAcceso abierto editor

Resumen

: Lymphoblastic leukaemia is the most common cancer typeamong children. The survival rate has increased in the last decades, butthere is a 15% of the patients with relapse. In this work, we will showseveral mathematical models which describe the dynamics oflymphoblastic leukaemia and we will apply discriminant analysis to findnew biomarkers, which may classify accurately whether a patient maybe at risk of relapse, by using experimental data