Cancer biology involves complex, dynamic interactions between cancer cells and their
tissue microenvironments. Single-cell effects are critical drivers of clinical progression …

Mathematical modelling approaches have become increasingly abundant in cancer
research. The complexity of cancer is well suited to quantitative approaches as it provides …

In this opinion, we highlight agent-based modeling as a key tool for exploration of cell–cell
and cell–environment interactions that drive cancer progression, therapeutic resistance, and …

Bone metastasis is the leading cause of death in prostate cancer patients, for which there is
currently no effective treatment. Since the bone microenvironment plays an important role in …

Bone metastatic disease of prostate cancer (PCa) is incurable and progression in bone is
largely dictated by tumor-stromal interactions in the bone microenvironment. We showed …

Multiple myeloma (MM) is an osteolytic malignancy that is incurable due to the emergence of
treatment resistant disease. Defining how, when and where myeloma cell intrinsic and …

Bone metastases develop in most patients with metastatic castration-resistant prostate
cancer (mCRPC). They affect the structural integrity of bone, manifesting as pain and …

Metastatic bone cancer occurs in every type of cancer but is prevalent in lung, breast, and
prostate cancers. These metastases can cause extensive morbidity, including a range of …

The Hybrid Automata Library (HAL) is a Java Library developed for use in mathematical
oncology modeling. It is made of simple, efficient, generic components that can be used to …

Simple Summary The traditional approach in identifying cancer related protein biomarkers
has focused on evaluation of a single peptide/protein in tissue or circulation. At best, this …