Abstract: Aspects of the present disclosure are directed to systems, methods, and computer readable media for configuring generation of digital therapeutic content for provision. A computing system may identify content to be provided via a network. The computing system may apply the content to a machine learning (ML) model to generate an output. The computing system may determine, from the output, a compliance status of the content. The computing system may identify, based on applying the ML model, at least a subsection of the content to be modified. The computing system may identify the content to be modified responsive to determining the compliance status of the content.

Abstract: Provided herein are methods of ameliorating experiential negative symptoms of schizophrenia in a user in need thereof. A computing system may obtain a first metric associated with the user prior to a plurality of time instances. The computing system may repeat across a plurality of time instances, identifying a configuration file selected based on an endpoint for ameliorating the experiential negative symptoms. The computing system may repeat presenting the set of content items identified by the configuration file to prompt the user to perform the activity towards achieving the endpoint. The computing system may obtain a second metric associated with the user after the plurality of time instances. The user may show amelioration of experiential negative symptoms of schizophrenia, when the second metric is lower than the first metric. The computing system may increase the efficacy of the medication that the user is taking to address the schizophrenia.

Abstract: Provided herein are systems and methods for presenting interventions to address substance use disorders (SUDs) in users. One or more processors may identify for a user with a substance use disorder, a profile including a plurality of substance use words, memory words, and neutral words. The one or more processors may provide a repeated cycle of selection activities and visualization activities. The one or more processors may update the profile of the user using the performance of the user in the activity. The systems and methods provided herein can enhance the efficacy of the medication that the user is taking in concurrence with addressing the SUD.

Abstract: Provided herein are systems and methods for providing instructions for speech based on speech classifications of verbal communications from users. Ae computing system can generate speech characteristics for a first verbal communication using a first audio sample from a user. The computing system can determine, from a plurality of speech classifications, a first speech classification for the first verbal communication based on the speech characteristics. The computing system can select, from a plurality of actions, an action comprising modifying one or more of the speech characteristics to define an utterance for the user based on the first speech classification. The computing system can provide an instruction presenting a message to prompt the user to perform the utterance defined by the action selected from the plurality of actions. The efficacy of the medication that the user is taking to address the condition may be increased.

Abstract: Aspects of the present disclosure are directed to systems, methods, and computer readable media for regulating digital therapeutic content for provision. A computing system may identify a digital therapeutic content to be provided via a network. The computing system may apply the digital therapeutic content to a machine learning (ML) model having a set of weights. The computing system may determine, from applying the digital therapeutic content to the ML model, an indication as of one of compliance or non-compliance. The computing system may store, using one or more data structures, an association between the digital therapeutic content and the indication used to control provision of the digital therapeutic content via the network, by (i) restricting the digital therapeutic content from provision responsive to determining the indication of non-compliance and (ii) permitting the digital therapeutic content to be provided responsive to determining the indication of compliance.

Abstract: Aspects of the present disclosure are directed to systems, methods, and computer readable media for regulating digital therapeutic content for provision. A computing system may identify a digital therapeutic content to be provided via a network. The computing system may apply the digital therapeutic content to a machine learning (ML) model having a set of weights. The computing system may determine, from applying the digital therapeutic content to the ML model, an indication as of one of compliance or non-compliance. The computing system may store, using one or more data structures, an association between the digital therapeutic content and the indication used to control provision of the digital therapeutic content via the network, by (i) restricting the digital therapeutic content from provision responsive to determining the indication of non-compliance and (ii) permitting the digital therapeutic content to be provided responsive to determining the indication of compliance.

Abstract: Provided herein are systems and methods for simulating testing environments for digital therapeutic applications to address conditions over spans of time. A computing system may select a trigger from a plurality of triggers of an event scheduler for addressing a condition. The computing system may set a clock to a timestamp of the trigger, wherein the clock is accessible to the service and to the user device. The computing system may cause the service to transmit a message for addressing the condition to the user device, responsive to the timestamp of the clock corresponding to the timestamp of the trigger. The computing system may identify that the message is communicated between the service and the user device in accordance with the trigger. The computing system may determine that the trigger of the event scheduler is validated, responsive to identifying that the message is communicated.

Abstract: Aspects of the present disclosure are directed to systems, methods, and computer readable media for regulating digital therapeutic content for provision. A computing system may identify a digital therapeutic content to be provided via a network. The computing system may apply the digital therapeutic content to a machine learning (ML) model having a set of weights. The computing system may determine, from applying the digital therapeutic content to the ML model, an indication as of one of compliance or non-compliance. The computing system may store, using one or more data structures, an association between the digital therapeutic content and the indication used to control provision of the digital therapeutic content via the network, by (i) restricting the digital therapeutic content from provision responsive to determining the indication of non-compliance and (ii) permitting the digital therapeutic content to be provided responsive to determining the indication of compliance.

Abstract: Aspects of the present disclosure are directed to systems, methods, and computer readable media for configuring generation of digital therapeutic content for provision. The system can receive a text input including one or more parameters identifying an audience and at least one domain. The system can identify content items generated by corresponding generative transformer models each using a prompt created based on the text input. The system can select, from a set of risk models for the domains, at least one risk model corresponding to the at least one domain. The system can apply the at least one risk model to each content item of the set of content items to determine a risk score. The system can select a content item based on the risk score of the content item. The system can present the content item including the respective digital therapeutic content.

Abstract: Aspects of the present disclosure are directed to systems, methods, and computer readable media for regulating digital therapeutic content for provision. A computing system may identify a digital therapeutic content to be provided via a network. The computing system may apply the digital therapeutic content to a machine learning (ML) model having a set of weights. The computing system may determine, from applying the digital therapeutic content to the ML model, an indication as of one of compliance or non-compliance. The computing system may store, using one or more data structures, an association between the digital therapeutic content and the indication used to control provision of the digital therapeutic content via the network, by (i) restricting the digital therapeutic content from provision responsive to determining the indication of non-compliance and (ii) permitting the digital therapeutic content to be provided responsive to determining the indication of compliance.

Abstract: Aspects of the present disclosure are directed to systems, methods, and computer readable media for generating messages targeted to address conditions in users. A computing system may identify (i) a condition of a user to be addressed and (ii) one or more parameters defining messages to be presented via an application towards achieving an endpoint associated with the condition for the user. The computing system may generate a prompt using the condition and the one or more parameters in accordance with a template. The computing system may apply the prompt to a generative model to output a message identifying at least one activity toward achieving the endpoint. The generative model may be trained using a corpus. The computing system may provide, the message for presentation to prompt the user to perform the activity via the application towards achieving the endpoint to address the condition.

Abstract: Provided herein are systems and methods for presenting interactive sessions to address functional impairment in users related to a disease or disorder. A computing device may provide a first session for a cognitive training layer associated with a skill. The computing system may provide a second session for a virtual functional training layer for the user to apply the skill in virtual settings. The computing system may provide a third session for a functional training layer for the user to perform an activity to apply the skill. The efficacy of the medication that the user is taking to address the disease or disorder may be increased.

Abstract: Presented herein are systems and methods of secure transmissions of data packets to remote devices in networked environments. A server can establish a data connection over a network with an application executing on a client device associated with a user. The server can identify, for the user of the client device, (i) a plurality of messages to transmit to the client device for presentation via the application and (ii) a plurality of times at which to transmit the messages. The server can transmit, via the data connection to the client device, a first message at a first time. The server can receive, via the data connection from the client device, response data packets identifying an event detected responsive to the presentation of the first message via the application. The server can modify, using the one or more response data packets, a second time for transmission of a second message.

Abstract: Provided herein are systems and methods for presenting multimodal stimulus to address symptoms associated with conditions. A server may identify a first visual stimulus associated with a condition and a second visual stimulus. The server may present the first visual stimulus at least partially overlapped with the second visual stimulus, to direct the user to interact with the display. The service may detect a response identifying an interaction associated with one of the first or second visual stimulus. The server may generate an auditory stimulus to include one or more portions indicating feedback based on the response.

Abstract: Provided herein are systems and methods for providing training via visual elements for presentation to address maladaptive behavior in users. A server may identify a session defining a plurality of tasks for a user to be performed using at least one hand of the user holding a display to address a propensity for behavior associated with a condition of the user. The server may provide a first indication to perform a first task using the at least one hand. The server may provide, subsequent to the first task, a second indication to perform a second task using the at least one hand. The server may provide, subsequent to the second task, a third indication to perform a third task using the at least one hand. The user may be administered with an effective amount of a medication at least partially concurrently with the performance of the tasks.

Abstract: A method that includes receiving patient-generated event data over a network from a patient device associated with a patient having an active digital therapy prescription for treating an underlying disease or disorder. The patient-generated event data is encrypted by the patient device and includes at least one timestamped event related to the active digital therapy prescription. In response to receiving the patient-generated event data, the method includes decrypting, anonymizing, and storing the anonymized patient-generated event data on memory hardware. The method further includes receiving a patient record request over the network from a healthcare provider (HCP) system that requests the patient-generated event data and includes an authentication token. In response to receiving the patient record request, the method includes retrieving and encrypting the anonymized patient-generated event data from the memory hardware using the authentication token.

Abstract: The present disclosure discusses system and methods for improving the efficiency of a remote computing device. The system and methods include generate a profile and delivery schedule for the remote computing device. The system can dynamically update the delivery schedule of future requests the system transmits to the remote computing device based on responses to current request.

Abstract: Provided is a system for measuring and assessing intra-ocular pressure (IOP). The system comprises a processor, a memory, a camera, and instructions written on the memory. The instructions when executed by the processor may cause the system to: capture an image of a user's eye; convert the image to a three-dimensional image; analyze the three-dimensional image; and calculate an IOP measurement.

Abstract: A computer implemented method for increasing mobile application user engagement in a remote computing environment is provided. The method includes presenting a first popup window to a user including a first plurality of action buttons, a first of the first plurality of action buttons causing a change to a first attribute category to a first instantiation, and a second of the first plurality of action buttons causing a change to a second attribute category to a second instantiation, the first attribute category and the second attribute category comprising a type of attribute category of a second popup window; and subsequent to the presenting the first popup window to the user, presenting the second popup window to the user including a first instantiation if the first of the first plurality of action buttons was selected, and a second instantiation if the second of the first plurality of action buttons was selected.