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Regulatory Science Tools Catalog

MID
This regulatory science tool presents a set of tissue-mimicking phantoms suitable for benchtop performance assessment of photoacoustic imaging (PAI) devices.
CM&S Program Image
This regulatory science tool presents a method for assessing credibility of patient-specific computational models implemented in medical device software. 
Biocompatibility and Toxicology
This regulatory science tool is a method that applies the ISO 10993-17 toxicological risk assessment approach to medical device extractables screening data to assess systemic toxicity, genotoxicity, carcinogenicity, or reproductive/developmental toxicity in the biocompatibility evaluation of a medical device.
Cardiovascualar
This tool provides a benchmark validation data set for laminar flow in an anatomical vascular model of the inferior vena cava (IVC).
Neurology
This RST contains a set of machine or deep learning algorithms which can be utilized in the development of relevant medical devices to assist in the prediction of traumatic brain injury (TBI) and stroke according to resting electroencephalography (EEG).
Cardiovascualar
This RST is a database tool consisting of nine mock circulation loop (MCL)-generated datasets for characterizing three dynamic attributes of pressure-based cardiac output monitoring systems that apply an algorithm to intra-radial arterial blood pressure waveforms for cardiac output and stroke volume variation measurements.
Cardiovascualar
This RST, a “threshold-based” validation method, provides a means to determine an acceptance criterion for computational models. A “credible” computational model has the potential to provide a meaningful evaluation of safety in medical-device submissions [1,2].
Cardiovascualar
This RST outlines a strategy for estimating the presence of cyclic phase transformation to aid in the determination of appropriate load levels for Fatigue to Fracture testing of nitinol components. Specifically, it includes a flowchart (Figure 1 in Appendix) to estimate the low to high cycle fatigue transition using either computational or experimental methods. Based on the output of the analysis, the user can create a test plan for fatigue testing per ASTM F3211 which includes both expected low cycle fatigue fractures and runouts.
Materials Program Image
The DAMSEL tool is a digital collection of published information related to the safety profile of materials commonly used in the manufacture of medical devices. This interactive application allows users to filter and access key response data for studies relating to material biocompatibility along with hyperlinks to the relevant original studies.
MID
The Virtual Imaging Clinical Trials for Regulatory Evaluation (VICTRE) computer modeling pipeline is a set of tools that allow for the replication of clinical trials of in silico breast radiographic images for the evaluation of digital mammography (DM) and digital breast tomosynthesis (DBT) devices.
HDI
A performance-based method requiring controlled grasping, transport, and release of objects that can be used to evaluate upper limb functional ability.
MID
The Virtual Family provides detailed three-dimensional computational models of the human anatomy including an adult male, an adult female, and two children
MXR
This tool allows for the creation of immersive 3D scenes using a web browser. WebXR allows for an instant deployment of any 3D scene and scripts and does not need to cater to a specific 3D engine or headset hardware
CM&S Program Image
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
Infection Control
A tool which may be used for measuring aerosol emission from water-based heater cooler devices with product codes DWC or DWJ.
AI ML
Tools that quantify wait-time-saving benefits for cases with positive diagnoses due to the adoption of Computer-Aided Triage and Notification devices in a radiology workflow
CM&S Program Image
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.