%0 Journal Article 
%A Niño López, Ana del Rosario
%T Modelización matemática y análisis de datos en leucemia
%D 2020
%U http://hdl.handle.net/10498/24223
%X Mathematical Oncology is a quite recent discipline which is expected to pin
down solutions to problems related to cancer and to take advantage of all avail-
able mathematical tools.
Specifically, Acute Lymphoblastic Leukaemia (ALL), which concerns blood
cells, will be examined. ALL brings about 80% of leukaemias when coming
down to pediatric ages. Survival of these patients has increased by a considerable amount in recent years, however, around 15 − 20% of treatments are
unsuccessful. It implies a relapse. For this reason, it is definitely required to
come up with new strategies to study and select which patients are at higher
risk of relapse.
This assignment will develop mathematical models which describe the behavior of the disease, examining the evolution of a leukaemic clone on the basis
of real data. Therefore, it is suggested a model which allows testing future
alternative therapies. Methodology employed will combine ordinary differ-
ential equations, numerical simulations, data analysis techniques along with
statistical tools with data processing with Python and Mathematica.

%K Python
%K Modelización matemática
%K Leucemia
%K Linfopoyesis
%K Análisis de datos
%~ Universidad de Cádiz