RT master thesis
T1 Modelización matemática y análisis de datos en leucemia
A1 Niño López, Ana del Rosario
A2 Matemáticas
K1 Python
K1 Modelización matemática
K1 Leucemia
K1 Linfopoyesis
K1 Análisis de datos
AB Mathematical Oncology is a quite recent discipline which is expected to pindown solutions to problems related to cancer and to take advantage of all avail-able mathematical tools.Specifically, Acute Lymphoblastic Leukaemia (ALL), which concerns bloodcells, will be examined. ALL brings about 80% of leukaemias when comingdown to pediatric ages. Survival of these patients has increased by a considerable amount in recent years, however, around 15 − 20% of treatments areunsuccessful. It implies a relapse. For this reason, it is definitely required tocome up with new strategies to study and select which patients are at higherrisk of relapse.This assignment will develop mathematical models which describe the behavior of the disease, examining the evolution of a leukaemic clone on the basisof real data. Therefore, it is suggested a model which allows testing futurealternative therapies. Methodology employed will combine ordinary differ-ential equations, numerical simulations, data analysis techniques along withstatistical tools with data processing with Python and Mathematica.
YR 2020
FD 2020-12
LK http://hdl.handle.net/10498/24223
UL http://hdl.handle.net/10498/24223
LA spa
DS Repositorio Institucional de la Universidad de Cádiz
RD 05-nov-2026