Background Identifying a proper model structure, using methods that address both structural
and parameter uncertainty, is a crucial problem within the systems approach to biology. And …

Epithelial-mesenchymal transition (EMT) is a fundamental biological process that plays a
central role in embryonic development, tissue regeneration, and cancer metastasis …

Mechanistic models are essential to deepen the understanding of complex diseases at the
molecular level. Nowadays, high-throughput molecular and phenotypic characterizations …

Drug research, therapy development, and other areas of pharmacology and medicine can
benefit from simulations and optimization of mathematical models that contain a …

Introduction Mathematical and computational modeling have a long history of uncovering
mechanisms and making predictions for biological systems. However, to create a model that …

Cancer is identified by aberrations in cellular structure and cellular function. Gross
morphological changes are evident in both the cellular and nuclear membranes in tumor …

Tumor heterogeneity contributes significantly to chemoresistance, a leading cause of
treatment failure. To better personalize therapies, it is essential to develop tools capable of …

Rapid advancements in high-throughput omics technologies and experimental protocols
have led to the generation of vast amounts of scale-specific biomolecular data on cancer …

We develop a family of mathematical models to predict patient-specific response to
neoadjuvant therapy in breast cancer. The models capture key features of tumor growth …

Introduction: Accounting for biological heterogeneity represents one of the greatest
challenges in biomedical research. Dynamic computational and mathematical models can …