Integration of evolutionary dynamics framed through a mathematical model improved outcomes in abiraterone monotherapy for the treatment of metastatic castrate-resistant prostate cancer.

Mathematical models of the build-up and depletion of the hypnozoite reservoir in the liver can inform the design of treatment strategies for preventing Plasmodium vivax relapse infections.

Mathematical modelling explains why molecular gradients sometimes cause axons to only turn weakly.

Data-driven mathematical modeling suggests that leading neural crest cells in a moving stream can robustly communicate with trailing cells by remodeling their extracellular matrix, thereby enabling long-distance collective migration.

Controlling the duration of ligand binding to the T cell receptor by light shows that T cells discriminate stimulatory from non-stimulatory ligands by measuring the dynamics of ligand binding.

The mathematical model incorporating new parameters explains multimodal distributions in escape direction (i.e., multiple preferred escape trajectories), which are previously observed in various animal taxa.

A mathematical modelling approach to understanding zebrafish stripe pattern formation exemplifies a biological rule-set sufficient to generate wild-type and a diverse range of mutant patterns.

Automatic leveraging of information in a hippocampal neuron database to generate mathematical models should help foster interactions between experimental and computational neuroscientists.

Cells control signal circulation to set the frequency of information transmitted over tissue scales.

In a developing yeast colony, cells go from homogeneous states to spatially organized, specialized metabolic states, and the new metabolic states depend on resources produced by the original state.