Increasing irisin, found at lower levels in people with PAH, may help slow disease progression by stopping vascular ...

Background: Statistical models that predict functional outcome after stroke using six simple variables (SSV) have recently been developed and validated. Objective: To compare the accuracy of these ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

A fiber photometry analysis framework based on functional mixed models enhances the detection of effects by testing signal-variable associations at each trial timepoint and accounting for ...

Learn about the functional, service line, matrix, and network models of healthcare administration and how they can improve your administrative management skills.

A novel model predicts functional independence post-stroke using stroke severity, frailty, intervention timing, and thrombolysis use, achieving 93% accuracy. Carotid endarterectomy and carotid ...

NPUsim is a modeling framework for full-model, cycle-level, and value-aware functional simulations of DNN accelerators. Unlike the prior tools that built loop-centric models with the implicit ...

A neural network is the computational structure, inspired by the function of the human brain, which does the data number crunching to create the models used in AI.