Researchers demonstrate how mathematical modeling combined with dynamic biomarkers can be used to characterize metastatic disease and identify appropriate therapeutic approaches to improve patient ...

Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or ...

Mathematical models have become an integral part of cancer biology. They are useful tools for deriving a mechanistic understanding of dynamic processes in cancer. The somatic evolutionary process, ...

In a recent study posted to the Research Square* preprint server, researchers designed a dynamic mathematical model to simulate the transmission of the severe acute respiratory syndrome coronavirus 2 ...

TGF-β-induced Smad signal transduction from the membrane into the nucleus is not linear and unidirectional, but rather a dynamic network that couples Smad phosphorylation and dephosphorylation through ...

Thermally integrated Carnot battery (TI-CB) systems offer unique advantages for industrial waste heat recovery, but their ...

Shoulder dystocia (SD) is an obstetric emergency in which the neonate’s shoulder is impacted behind the symphysis pubis of the maternal pelvis. This is a highly unpredictable event, occurring in about ...

Why do we need to understand the dynamics of the cell cycle? The cell cycle is a mechanism that controls and integrates the stages of DNA synthesis, mitosis, and cell division. This mechanism dictates ...

The Covid-19 pandemic has triggered a wave of severe economic disruption around the world, causing widespread chaos, profound changes in the business landscape and overwhelming operational challenges.

Depending on others for something you need may feel like a risky proposition—and perhaps a human one. It is actually a ...

This is the great mystery of human vision: Vivid pictures of the world appear before our mind’s eye, yet the brain’s visual system receives very little information from the world itself. Much of what ...