… In order to translate cardiac computational models into clinical applications, it is crucial to
assess and quantify how input uncertainties impact on model predictions, and thus on selected …

… limits the application of the model to the early stage, where the cancer can be approximated
with a … Numerical simulations for both models show the potential successes of IAS, which …

… numerical solution methodology employed to approximate … Then we present two medical
applications: (i) transverse sinus … Mathematical models of CSF dynamics with clinical relevance …

… To prove the biophysical accuracy of our computational model, we also address different
scenarios of clinical interest in our numerical simulations by varying preload, afterload and …

… order accuracy for the approximation of fractional operators … operators, we perform numerical
simulations of the HIV model … Clinical data from a diverse range propose that availability of …

… numerical schemes namely continuous Galerkin–Petrov (cGP(2)) and Legendre Wavelet
Collocation Method (LWCM) for the approximate … cells is used in a clinical as indicator for the …

… and has obtained some acceptance in clinical experiments [15]–[… is based on a discrete
dipole approximation (DDA) forward … Section IV shows simulated numerical results and those for …

… digital twin for certain clinical applications such as to guide … still provide a decent
approximation of wave propagation under … To quantify the numerical error arising due to the mesh …

… incompatible with clinical practice. Moreover, in many cases the … approximation of arteries
by the above-mentioned domain-decomposition approach; we also address the numerical …

… of the numerical solution, namely how can we compute an approximate discretization error
… problems that arise in current practice for clinical biomechanics, and point out the main …