A Mathematical Model of Acute Lymphoblastic Leukemia Development

  1. Ana Niño-López 1
  2. Álvaro Martínez-Rubio 12
  3. Salvador Chulián 12
  4. María Rosa 12
  1. 1 Universidad de Cádiz
    info

    Universidad de Cádiz

    Cádiz, España

    ROR https://ror.org/04mxxkb11

  2. 2 Biomedical Research and Innovation Institute of Cadiz (INiBICA), Hospital Universitario Puerta del Mar, Cádiz, Spain
Actas:
International Conference on Mathematical Analysis and Applications in Science and Engineering

Editorial: Polytechnic of Porto. School of Engineering

ISBN: 978-989-53496-3-0

Año de publicación: 2022

Páginas: 49-52

Tipo: Aportación congreso

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Resumen

Leukemia is the most frequently type of cancer in pediatric age. Particularly, Acute Lymphoblastic Leukemia (ALL) brings about 80% of childhood leukemias. Even if its survival rate has increased in the recent years, about 15 20% of treatments are unsuccessful, and patients relapse. For this reason, it is required to determine new therapeutic strategies to advance in this field. This work develops a mathematical model which describes leukemic cells behavior, and so establish the basis of future works about treatment. Therefore, we suggest a mathematical model which allows testing future alternative therapies. Methodology employed combines ordinary diferential equations, numerical simulations and data analysis techniques, incluidng statistical tools for data processing with Python.