Regulatory Science Tools Catalog
This regulatory science tool presents Python-based software for evaluating computer models that predict the number of COVID-19 deaths or hospitalizations expected in a specific locality.
This regulatory science tool presents a method for assessing credibility of patient-specific computational models implemented in medical device software.
A series of benchmark problems with known exact solutions that can be used to verify if tissue-level (e.g., ventricular, atrial) computational models of cardiac electrophysiology have been implemented correctly
This study demonstrates the application of gold-standard method of manufactured solutions (MMS) code verification to verify a commercial finite element code for elastostatic solid mechanics analyses relevant to medical devices. The Python/SymPy code used to generate source terms is available as supplemental material.
A finite element model of the human shoulder for simulating humeral abduction and calculating outputs such as contact force, contact pressure, contact area, stress, and strain.
A "threshold-based" validation approach that provides a well-defined acceptance criterion, which is a function of how close the simulation and experimental results are to the safety threshold, for establishing the model validity.