In models reconstructed from MRI scans of patients with embolic stroke of undetermined source, computational simulations reveal that fibrosis has the intrinsic capacity to sustain arrhythmia drivers when subjected to triggered activity known to exist in patients with atrial fibrillation.

Applying computational modeling to quantify threat learning processes uncovers how variations in these conserved learning processes relate to anxiety severity and the neuroanatomical substrates moderating these associations.

The recurring application of computational modelling combined with wet lab experiments identify and predict central regulatory parameters and factors for early cell physiological reactions linked to differential brassinosteroid-modified elongation growth in the root tip of Arabidopsis thaliana.

Computational modeling of cognitive and neuroscience data is an insightful and powerful tool, but has many potential pitfalls that can be avoided by following simple guidelines.

The role of genetically identified V3 interneurons with ascending propriospinal projections in the spinal locomotor circuitry and their contribution to the limb coordination and speed-dependent gait expression during locomotion were investigated using a combination of experimental studies and computational modeling.

Genome editing, advanced live-cell microscopy, and computational modeling were combined to measure WNT/CTNNB1 signaling parameters at the single molecule level, revealing critical regulatory nodes in this important signal transduction pathway.

Personalized virtual-heart technology for arrhythmia risk assessment could transform the management of hypertrophic cardiomyopathy patients, eliminating many unnecessary primary-prevention defibrillator deployments while ensuring patients at high risk for arrhythmia are adequately protected.

aLENS implements new parallel methods to resolve cytoskeletal assembly dynamics with high stability, physical consistency, and scalability.

Context factors such as experimental task and model parameterization can significantly impact modeling results, such that across tasks, the same participants show different fitted parameter values, and parameters capture different cognitive processes across tasks.

An integrated stem cell-based disease modeling and computational approach demonstrates how proximal airway epithelium is critical for SARS-CoV-2 infectivity and distal alveolar cells are critical for simulating the host responses.