Collection 

Mathematical oncology

Submission status
Closed
Submission deadline

Mathematical oncology aims to contribute to the better understanding of cancer initiation, progression, and treatment, through the integration and application of mathematical models and simulations. Modelling cancer has become more feasible in recent decades, due to a combination of theoretical and technical advances, ever-expanding computational power, and a growing wealth of both experimental and clinical data. Mathematical models can be used to simulate tumour growth both forwards and backwards in time, and in response to treatments, improve our knowledge of individual cell behaviour, identify key features from complex data sets and clinical imaging, and ultimately develop patient-specific therapies and personalized medicine.

This Collection offers a platform for original contributions on mathematical oncology, from methodological advancements to applied clinical research, including integrative and multidisciplinary studies.

Cancer cells low poly blue

Editors