The combination of mathematical modeling and optimal control techniques holds great potential
for quantitatively describing tumor progression and optimal treatment planning. Hereby, …

This study involves the mathematical modelling of long-term HIV dynamics and the
investigation of optimal treatment strategies. In our previous work, we produced a model which …

Tumorigenesis is a complex, multistep process that depends on numerous alterations within
the cell and contribution from the surrounding stroma. The ability to model macroscopic …

This study presents a mathematical modeling approach to the planning of HIV therapies on
an individual basis. The model replicates clinical data from typical-progressors to AIDS for all …

In this study, we present a mathematical modelling and optimal control approach to formulate
patient-specific drug-specific treatment strategies for HIV-infected patients. Central to this is …

This study examines the application of mathematical modeling and optimal control in the
investigation of optimal cancer therapy. We present models to predict cancer dynamics in mice …

This study deals with the planning of anti-cancer therapy in mice with drug-resistance using
mathematical modeling and optimal control. By making use of experimental data in order to …

In this work, we present how optimized treatment interruptions during chemotherapy may be
used to control drug-resistance, a major challenge for clinicians worldwide. Specifically, we …

This study investigates a mathematical modeling approach to the formulation of treatment
strategies for rapid-progressors to AIDS (RPs), who experience a considerably faster …

This paper presents our work on the application of mathematical modeling and optimal
control techniques in the modeling of tumor progression and optimal treatment planning. We …