Highlights•Cancer is a heterogeneous and evolving disease, yet most drugs are
administered to simply give the maximum dose.•Treatment scheduling currently ignores the …

Cancer therapy is facing increasingly significant challenges, marked by a wide range of
techniques and research efforts centered around somatic mutations, precision oncology …

We present a game-theoretic model of a polymorphic cancer cell population where the
treatment-induced resistance is a quantitative evolving trait. When stabilization of the tumor …

Cancer is a leading cause of death and a cost burden on healthcare systems worldwide.
The mainstay of treatment is chemotherapy which is most often administered empirically …

Chemotherapy resistance in cancer remains a barrier to curative therapy in advanced
disease. Dosing of chemotherapy is often chosen based on the maximum tolerated dosing …

Prostate-specific antigen (PSA) is the most commonly used serum marker for prostate
cancer. It plays a role in cancer detection, treatment monitoring, and more recently, in …

Low-grade gliomas are primary brain tumors that arise from glial cells and are usually
treated with temozolomide (TMZ) as a chemotherapeutic option. They are often incurable …

Drug resistance results in poor outcomes for most patients with metastatic cancer. Adaptive
Therapy (AT) proposes to address this by exploiting presumed fitness costs incurred by drug …

Nature exhibits rapid evolution in response to human activities. When using natural
resources for their own profit, humans should account for such responses. Stackelberg …

Mathematical models are a core component in the foundation of cancer theory and have
been developed as clinical tools in precision medicine. Modeling studies for clinical …