Abstract: A design control architecture and software quality assurance system for analyzing stimulus-response patterns in user activity data. A design control architecture and software quality assurance system may process user activity data according to a classifier model to assess an impact of an incremental design change to one or more quality measures of a software product. In accordance with certain embodiments the one or more quality measures may include one or more efficacy, safety, and/or performance metrics associated with one or more features of the software product. In certain embodiments, the software product may comprise a digital health intervention or software as a medical device product.

Abstract: An apparatus including a body, a shaft assembly extending distally from the body, and an end effector configured to grasp and transmit RF energy to the tissue. The end effector includes a first jaw having a first tissue grasping feature and a second jaw. The second jaw is pivotably coupled to the first jaw between an open position, a partially closed position, and a closed position. The second jaw includes a proximal taper having a proximal electrode surface, a distal taper including a distal electrode surface, and a juncture between the proximal and distal electrode surface. The juncture is spaced further from the first tissue grasping feature compared to the proximal and distal end while the second jaw is in the partially closed position. The proximal and distal electrode surface deform to define a gap with the first tissue grasping feature while in the closed position.

Abstract: Systems and methods for distributed scientific evaluation of software product comprising a digital health intervention or software as a medical device product. In certain embodiments, a scientific evaluation system is operably configured to analyze one or more safety, efficacy, performance, and/or quality assurance aspects for program code outputs of the software product. In further embodiments, a scientific evaluation system is operably configured to configure and administer a distributed scientific evaluation, research study and/or clinical trial for the software product. In certain embodiments, a scientific evaluation system is configured to enable scientific evaluation of one or more program code outputs of a software product for one or more indication or intended use.

Abstract: Generating, rendering and outputting one or more audio signals that have one or more audio sequences and/or spectral modulations of an audio file including a plurality of audio-based user prompts in an audio interference processing system. An audio interference processing system and method incudes initiating an instance of an audio interference processing session, configuring one or more session parameters, rendering/outputting a training audio output to one or more transducers, rendering/outputting one or more audio discrimination and audio navigation signals to the one or more transducers, receiving two or more sensor inputs in response to rendering/outputting one or more audio discrimination and audio navigation signals to the one or more transducers, processing the two or more sensor inputs, and providing a feedback output to a user via one or more modalities.

Abstract: Systems and methods for distributed scientific evaluation of software product comprising a digital health intervention or software as a medical device product. In certain embodiments, a scientific evaluation system is operably configured to analyze one or more safety, efficacy, performance, and/or quality assurance aspects for program code outputs of the software product. In further embodiments, a scientific evaluation system is operably configured to configure and administer a distributed scientific evaluation, research study and/or clinical trial for the software product. In certain embodiments, a scientific evaluation system is configured to enable scientific evaluation of one or more program code outputs of a software product for one or more indication or intended use.

Abstract: Generating, rendering and outputting one or more audio signals that have one or more audio sequences and/or spectral modulations of an audio file including a plurality of audio-based user prompts in an audio interference processing system. An audio interference processing system and method incudes initiating an instance of an audio interference processing session, configuring one or more session parameters, rendering/outputting a training audio output to one or more transducers, rendering/outputting one or more audio discrimination and audio navigation signals to the one or more transducers, receiving two or more sensor inputs in response to rendering/outputting one or more audio discrimination and audio navigation signals to the one or more transducers, processing the two or more sensor inputs, and providing a feedback output to a user via one or more modalities.

Abstract: Embodiments of the present disclosure provide a system and method for using facial recognition and mimicry workflows to train cognitive and emotional empathy. The system and methods comprise the use of physiological measurements (e.g., EEG, etc.) in combinations with facial recognition to detect user affect and modify one or more cognitive screening instruments to further promote a user affect. One or more specific emotions associated with one or more specific negative cognitive bias are targeted to influence affect. One or more specific psychopathology may be treated using an emotional recognition training component within a computerized cognitive-bias modification regimen. The regimen may comprise the identification, targeting, and modification of emotions and may utilize one or more facial inputs, cognitive tasks, facial recognition and facial mimicry protocols to adaptively modify one or more attributes of one or more computerized stimuli or interactions within a computerized platform or platform-product.

Abstract: A design control architecture and software quality assurance system for analyzing stimulus-response patterns in user activity data. A design control architecture and software quality assurance system may process user activity data according to a classifier model to assess an impact of an incremental design change to one or more quality measures of a software product. In accordance with certain embodiments the one or more quality measures may include one or more efficacy, safety, and/or performance metrics associated with one or more features of the software product. In certain embodiments, the software product may comprise a digital health intervention or software as a medical device product.

Abstract: Systems and methods for distributed scientific evaluation of software product comprising a digital health intervention or software as a medical device product. In certain embodiments, a scientific evaluation system is operably configured to analyze one or more safety, efficacy, performance, and/or quality assurance aspects for program code outputs of the software product. In further embodiments, a scientific evaluation system is operably configured to configure and administer a distributed scientific evaluation, research study and/or clinical trial for the software product. In certain embodiments, a scientific evaluation system is configured to enable scientific evaluation of one or more program code outputs of a software product for one or more indication or intended use.

Abstract: Embodiments of the present disclosure provide a system and method for using facial recognition and mimicry workflows to train cognitive and emotional empathy. The system and methods comprise the use of physiological measurements (e.g., EEG, etc.) in combinations with facial recognition to detect user affect and modify one or more cognitive screening instruments to further promote a user affect. One or more specific emotions associated with one or more specific negative cognitive bias are targeted to influence affect. One or more specific psychopathology may be treated using an emotional recognition training component within a computerized cognitive-bias modification regimen. The regimen may comprise the identification, targeting, and modification of emotions and may utilize one or more facial inputs, cognitive tasks, facial recognition and facial mimicry protocols to adaptively modify one or more attributes of one or more computerized stimuli or interactions within a computerized platform or platform-product.

Abstract: Embodiments of the present disclosure provide a system and method for using facial recognition and mimicry workflows to train cognitive and emotional empathy. The system and methods comprise the use of physiological measurements (e.g., EEG, etc.) in combinations with facial recognition to detect user affect and modify one or more cognitive screening instruments to further promote a user affect. One or more specific emotions associated with one or more specific negative cognitive bias are targeted to influence affect. One or more specific psychopathology may be treated using an emotional recognition training component within a computerized cognitive-bias modification regimen. The regimen may comprise the identification, targeting, and modification of emotions and may utilize one or more facial inputs, cognitive tasks, facial recognition and facial mimicry protocols to adaptively modify one or more attributes of one or more computerized stimuli or interactions within a computerized platform or platform-product.

Abstract: Generating, rendering and outputting one or more audio signals that have one or more audio sequences and/or spectral modulations of an audio file including a plurality of audio-based user prompts in an audio interference processing system. An audio interference processing system and method includes initiating an instance of an audio interference processing session, configuring one or more session parameters, rendering/outputting a training audio output to one or more transducers, rendering/outputting one or more audio discrimination and audio navigation signals to the one or more transducers, receiving two or more sensor inputs in response to rendering/outputting one or more audio discrimination and audio navigation signals to the one or more transducers, processing the two or more sensor inputs, and providing a feedback output to a user via one or more modalities.