Regulatory Science Tools Catalog
This regulatory science tool is an open-access dataset containing raw inertial measurement unit (IMU) and sensorized insole data from individuals with Parkinson’s Disease (PD) and age-matched controls synchronized to a gait walkway reference system that can serve as a tool to assess novel algorithms deriving gait metrics through wearables and explore measurable connections between gait, PD severity, PD progression, and controls, thus leading to future clinical enhancements and treatments for patients.
This regulatory science tool is a lab method for building a 5G network testbed to assess data transmission of medical device functions using 5G connectivity.
This regulatory science tool is a software program written in Python for analyzing whole slide images (WSIs) and assisting developers or pathologists in the assessment of machine learning algorithms used in digital pathology.
This regulatory science tool (RST) is a method for assessing the image quality of a head mounted display using the display’s transverse chromatic aberration characteristics to align the light measuring device to the eye-point/ center of the eye-box.
This regulatory science tool is a lab method for performing platelet and leukocyte count assays per the <a href="https://www.iso.org/standard/63448.html">ASTM F2888-19 standard</a>, as a part of in vitro thrombogenicity assessment of blood-contacting medical device materials.
This regulatory science tool (RST) is a lab method for evaluating the safety of critical time-dependent radiant power, spectral, and temporal characteristics for multiwavelength high-power laser pointers and handheld compact laser products
This regulatory science tool is a synthetic mammography dataset that includes a variety of breast densities, breast sizes, and inserted lesions imaged with different exposure levels. The dataset is intended to be used for the comparative evaluation of AI tools used in mammography.
This regulatory science tool is a method and phantom design for the evaluation of iodine-specific quantitative measurements, specifically the accurate estimation of iodine concentration within contrast-enhanced spectral CT.
This regulatory science tool comprises a model for conducting a retrospective analysis of COVID-19 intervention strategies.
This regulatory science tool is a lab method that may be helpful while evaluating high intensity therapeutic ultrasound (HITU) devices.
This regulatory science tool (RST) describes a method to characterize digital image quality on optical see-through augmented reality head-mounted displays (AR HMDs) in ambient lighting conditions. The method can be implemented to measure AR display performance, such as Michelson contrast and contrast uniformity.
This regulatory science tool comprises a computer model of a human action potential, which includes the effects of heart failure (HF) and the anti-arrhythmic drugs amiodarone (AM) and d-sotalol (DS).
This regulatory science tool is a lab method tool used for simulating target clinical use patient conditions on the bench using a mock circulatory loop in conjunction with the ISO 14708-5 standard specifications for circulatory support devices.
This regulatory science tool is a lab method in the form of a physical mock circulation loop (MCL) used for simulating peripheral radial pressure waveforms.
This regulatory science tool is a model for establishing analyte recovery in chemical characterization studies following liquid-liquid extraction.
This regulatory science tool is a lab method that computes bone microstructure metrics to characterize bone morphology and skeletal geometry.
This regulatory science tool is a method for measuring the line spread function (LSF) and calculating the modulation transfer function (MTF) for head mounted displays (HMDs).
This regulatory science tool presents a method to measure the radially variant contrast on virtual reality head-mounted displays (VR HMDs) using circular concentric ring patterns, which can be implemented to characterize image quality, including Michelson contrast and effective resolution, on VR HMDs equipped with optical lenses.
This regulatory science tool presents a method (web-based decision tree) that may help developers select appropriate metric and endpoint for Artificial Intelligence (AI) / Machine learning (ML) classification algorithms in medical imaging.
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.