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

Innovations in information and communication technology infuse all branches of science,
including life sciences. Nevertheless, healthcare is historically slow in adopting …

The complexity of morphogenesis poses a fundamental challenge to understanding the
mechanisms governing the formation of biological patterns and structures. Over the past …

A main goal of mathematical and computational oncology is to develop quantitative tools to
determine the most effective therapies for each individual patient. This involves predicting …

With advances in computing, agent-based models (ABMs) have become a feasible and
appealing tool to study biological systems. ABMs are seeing increased incorporation into …

In multicellular organisms, relations among parts and between parts and the whole are
contextual and interdependent. These organisms and their cells are ontogenetically linked …

The efficiency of chemotherapy in the treatment of cancer depends on the administration
schedule, such as dosage, timing and frequency, and the release control if self-assembled …

Tumor growth from a single transformed cancer cell up to a clinically apparent mass spans
many spatial and temporal orders of magnitude. Implementation of cellular automata …

Mathematics is often used to model biological systems. In mammary gland development,
mathematical modeling has been limited to acinar and branching morphogenesis and …

The human mammary gland represents a highly organized and dynamic tissue, uniquely
characterized by postnatal developmental cycles. During pregnancy and lactation, it …