Abstract
AbstractLeukaemia accounts for around 3% of all cancer types diagnosed in adults, and is the most common type of cancer in children of paediatric age (typically ranging from 0 to 14 years). There is increasing interest in the use of mathematical models in oncology to draw inferences and make predictions, providing a complementary picture to experimental biomedical models. In this paper we recapitulate the state of the art of mathematical modelling of leukaemia growth dynamics, in time and response to treatment. We intend to describe the mathematical methodologies, the biological aspects taken into account in the modelling, and the conclusions of each study. This review is intended to provide researchers in the field with solid background material, in order to achieve further breakthroughs in the promising field of mathematical biology.
Funder
Junta de Comunidades de Castilla-La Mancha
Consejería de Salud, Junta de Andalucía
Asociación Pablo Ugarte
Fundación Española para la Ciencia y la Tecnología
Ministerio de Ciencia e Innovación
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Control and Optimization,Modeling and Simulation,Numerical Analysis
Cited by
6 articles.
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