Recent progress in machine learning (ML), together with advanced computational power,
have provided new research opportunities in cardiovascular modeling. While classifying …

Computational models of the brain and its biomechanical response to skull accelerations
are important tools for understanding and predicting traumatic brain injuries (TBIs) …

Because of the rigid coupling between the upper dentition and the skull, instrumented
mouthguards have been shown to be a viable way of measuring head impact kinematics for …

Diffuse brain injuries are assessed with deformation-based criteria that utilize metrics based
on rotational head kinematics to estimate brain injury severity. Although numerous metrics …

One of the principal barriers in developing accurate and tractable predictive models in
turbulent flows with a large number of species is to track every species by solving a separate …

Mild traumatic brain injury (mild TBI), often referred to as concussion, is the most common
form of TBI and affects millions of people each year. A history of mild TBI increases the risk of …

Importance Subconcussive head impacts have emerged as a complex public health
concern. The oculomotor system is sensitive to brain trauma; however, neuro …

Introduction Sub-concussive head impacts in soccer are drawing increasing research
attention regarding their acute and long-term effects as players may experience thousands …

Multiple brain injury criteria (BIC) are developed to quickly quantify brain injury risks after
head impacts. These BIC originated from different head impact types (eg sports and car …

Background and purpose Neuroinflammation has been proposed as part of the
pathogenesis of post‐concussion symptoms (PCS), but the inflammatory response of the …