Abstract: Techniques regarding pain treatment are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include: a data collection component that can determine at least one parameter associated with a pain perception of a subject, a computing component that can determine a relationship between the pain perception and the at least one parameter using artificial intelligence, and can determine a treatment for the subject based on the relationship; and a treatment component that can cause a device associated with the subject to apply at least a portion of the treatment.

Abstract: A method, a structure, and a computer system for privacy-preserving motion analysis. Embodiments may include identifying one or more joints of a user based on collected data and generating one or more 3D representations of the one or more joints of the user. Embodiments may further include anonymizing the one or more 3D representations, classifying one or more actions of the user based on the one or more 3D representations, wherein the classifying outputs an action score, and exporting at least one of the one or more actions and the action score.

Abstract: A system for interfacing an in-body medical device with an external network includes a subdermal wideband on-body network (WON) hub, which in turn includes a hub rechargeable battery, a hub processor coupled to the hub rechargeable battery, a device interface configured to communicate with the in-body medical device, and coupled to the hub processor, and a hub-satellite near field communications wireless interface coupled to the hub processor. The system also includes a wearable WON server that in turn includes a server processor, a server-satellite interface coupled to the server processor, and an external network interface coupled to the server processor.

Abstract: A method, a structure, and a computer system for traumatic event detection. The exemplary embodiments may include collecting data using sensors worn by a user and identifying a traumatic event based on applying a model to the data, wherein the model correlates values of the data with traumatic events and traumatic brain injuries. The exemplary embodiments may further include identifying the traumatic brain injury resulting from the traumatic event.

Abstract: A method, a structure, and a computer system for privacy-preserving motion analysis. Embodiments may include collecting data corresponding to a user with one or more sensors and identifying one or more joints of the user based on the data. Embodiments may additionally include generating one or more 3D representations of the one or more joints of the user and anonymizing the one or more 3D representations by applying thereto a joint-centering and a random shuffling. Embodiments may further include classifying one or more actions of the user based on analysing the one or more 3D representations, and exporting at least one of the data and the one or more actions.

Abstract: A system for interfacing an in-body medical device with an external network includes a subdermal wideband on-body network (WON) hub, which in turn includes a hub rechargeable battery, a hub processor coupled to the hub rechargeable battery, a device interface configured to communicate with the in-body medical device, and coupled to the hub processor, and a hub-satellite near field communications wireless interface coupled to the hub processor. The system also includes a wearable WON server that in turn includes a server processor, a server-satellite interface coupled to the server processor, and an external network interface coupled to the server processor.

Abstract: Techniques regarding autonomously updating a participation status of an entity with regards to a clinical trial are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise status component that can update a participation status of an entity regarding a clinical trial based on a trust disposition value. The trust disposition value can be determined using machine learning technology and can be indicative of an expected enrichment contribution associated with the participation status.

Abstract: Techniques regarding autonomously updating the status of a prescription are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a prescription component that can update a status of a prescription associated with an entity based on a trust disposition value. The trust disposition value can be determined using machine learning technology and can be indicative of an expected effectiveness of the prescription.

Abstract: Techniques regarding autonomously updating the status of a medical procedure are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a procedure component that can update a status of a medical procedure regarding an entity based on a trust disposition value derived using machine learning technology. The trust disposition value can be indicative of an expected efficacy associated with the medical procedure.

Abstract: A sleeping mask includes a signal processor for processing sensor data, an infrared light source coupled to the signal processor and configured to emit infrared light toward an eyelid of a user, and an array of infrared sensors coupled to the signal processor and configured to receive infrared light reflected from the eyelid of the user.

Abstract: A method, a structure, and a computer system for assessing user mobility. The exemplary embodiments may include collecting heart rate data and acceleration data corresponding to a user while the user is not performing one or more validated fitness assessment tests and extracting one or more features from the heart rate data and the acceleration data. The exemplary in embodiments may further include calculating one or more validated fitness assessment scores of the user based on applying a model to the one or more features and projecting a mobility of the user based on the one or more validated fitness assessment scores.

Abstract: A method, a structure, and a computer system for assessing user mobility. The exemplary embodiments may include collecting mobility data corresponding to a user and extracting one or more low level features from the mobility data. The exemplary embodiments may further include extracting one or more clinical level features from the low level features and assessing one or more health conditions of the user based on applying one or more models to the one or more clinical level features.

Abstract: Techniques regarding autonomously controlling the delivery of one or more chemical compounds are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a compound component can identify a chemical compound mixture to be distributed to an entity based on a trust disposition value. The trust disposition value can be determined using machine learning technology and is indicative of an expected effectiveness of the chemical compound mixture with regards to the entity.

Abstract: A method, a structure, and a computer system for enabling telemedicine using printed devices. Exemplary embodiments may include receiving a design for a device and printing the device based on the design using a printer. The exemplary embodiments may further include combining the device with a smart device and utilizing the device to collect data during a telemedicine session administered on the smart device.

Abstract: A method, a structure, and a computer system for assessing a cognitive state of a driver of a vehicle. The exemplary embodiments may include collecting data from one or more sensors positioned around the vehicle and calculating a distraction value, an engagement value, and a workload value corresponding to the driver of the vehicle based on the data. The exemplary embodiments may further include determining whether the driver exhibits a low cognitive state based on the distraction value and the engagement value, and, based on determining that the driver exhibits the low cognitive state, assuming control of the vehicle.

Abstract: The exemplary embodiments disclose a system and method, a computer program product, and a computer system for assessing one or more Parkinson's disease symptoms. The exemplary embodiments may include collecting data of a user's motion, extracting one or more features from the collected data, and assessing one or more Parkinson's disease symptoms of the user based on applying one or more models to the data.

Abstract: A method, a structure, and a computer system for privacy-preserving motion analysis. Embodiments may include collecting data corresponding to a user with one or more sensors and identifying one or more joints of the user based on the data. Embodiments may additionally include generating one or more 3D representations of the one or more joints of the user and anonymizing the one or more 3D representations by applying thereto a joint-centering and a random shuffling. Embodiments may further include classifying one or more actions of the user based on analysing the one or more 3D representations, and exporting at least one of the data and the one or more actions.

Abstract: A system for interfacing an in-body medical device with an external network includes a subdermal wideband on-body network (WON) hub, which in turn includes a hub rechargeable battery, a hub processor coupled to the hub rechargeable battery, a device interface configured to communicate with the in-body medical device, and coupled to the hub processor, and a hub-satellite near field communications wireless interface coupled to the hub processor. The system also includes a wearable WON server that in turn includes a server processor, a server-satellite interface coupled to the server processor, and an external network interface coupled to the server processor.

Abstract: Embodiments of the present invention provide an oral device. According to one embodiment of the present invention, a mouthpiece suitable to detachably engage teeth of an upper jaw is provided. The mouthpiece comprises an adhesive layer configured to attach a hermetically sealed chamber to the mouthpiece. The hermitically sealed chamber fits within a concave space created by the mouthpiece. The hermitically sealed chamber comprises two layers and embedded between those two layers are a pressure sensor, a microphone, an optical sensor, a temperature sensor, a communications module, a storage enclosure, and a biosensor. Each of the pressure sensor, the microphone, the optical sensor, the temperature sensor, the communications module, the storage enclosure, and the biosensor are operably connected within the hermetically sealed chamber.

Abstract: Techniques regarding autonomously determining an entity's susceptibility towards one or more treatment services are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise an assessment component that can determine a susceptibility disposition value that measures a susceptibility of an entity to a treatment service based on a trust disposition value. The trust disposition value can be determined based on a communication with the entity using machine learning technology.