Manuscript Topics

Mathematical modeling constitutes an emerging area of oncological research aiming to predict spatial and temporal evolution of solid tumors, by describing many different phenomena which occur at different scales. Among these, modeling at the macroscopic scale has a great potential of application, when diagnostic imaging evaluation is used to identify the metabolic tumor volume undergoing proliferation and can be used for validation purposes.

Generally, with cancer therapies the personal involvement for the patient and the cost for the national health system vary considerably with the adopted treatment. The choice of drug may dictate the physical burden and the surgical strategy for subsequent tumor removal.

Computational oncology methods respond to the need of therapy optimization. This MBE special issue on "Computational Oncology" will accept submissions of predictive, quantitative research addressing the paradigm of personalized and precision medicine in oncology. This collection of papers will be purposeful to demonstrate the power of computational prognosis as a decision support system for oncologists surgeons and towards personalized treatment optimization of solid tumors.

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