Abstract: Automating patient care by training an artificial intelligence using a data structure organized in a patient care matrix comprising levels of domain knowledge. The care matrix data structure is defined and populated with training data. The artificial intelligence includes a plurality of artificial intelligence nodes each trained using aspects of the care matrix data structure such that an entity AI node instance is trained using a data set comprising subset of training data utilized in training child entities node instances of the entity AI node being trained. A long form description of a patients behavior or disorder is obtained and a natural language processor is employed to generate input phrases to be supplied to the AI for analysis. The AI analyzes the obtained phrases using a plurality of the trained AI node instances to automatically generate a patient treatment profile including one or more therapies and associated measures.

Abstract: A system that provides an interface layer through which communications to users can be normalized by making consistent the value-reads (e.g., format) of the communications. The information or message inputted into the system can be used in each aspect of the system to personalize the user's experience. Also, when the system receives information/signals from the user himself/herself (e.g., time it takes to read or transmit a message, choice of communication, etc.), the system can adapt the user's experience to the user's cognitive wellness. The system includes normalization of messages for message aggregation and message distribution.

Abstract: A system that provides an interface layer through which communications to users can be normalized by making consistent the value-reads (e.g., format) of the communications. The information or message inputted into the system can be used in each aspect of the system to personalize the user's experience. Also, when the system receives information/signals from the user himself/herself (e.g., time it takes to read or transmit a message, choice of communication, etc.), the system can adapt the user's experience to the user's cognitive wellness. The system includes normalization of messages for message aggregation and message distribution.

Abstract: The present invention relates to time-driven personalization of media preference. In an embodiment, the present invention includes a therapy for treating altered cognitive states, such as understimulation, overstimulation and sundowning, in individuals suffering from cognitive impairment, including dementia. The present invention uses time to focus its therapies through personal care shows. The time-based personal care shows include personalized content (e.g., images, music, trusted voice) and format (e.g., tempo, length of intervals, color contrast) to ensure effectiveness of the personal care shows in reaching the desired results.

Abstract: Graphical first individual interfaces, systems and methods of implementing an adaptable, interactive educational tool that provides cognitive and social benefits. An embodiment can be configured to provide a graphical first individual interface for presenting text and related content associated with a predetermined general subject matter. The specific text and related content presented to the first individual may be determined after baseline tests and related use are recorded to calculate the first individual's cognitive wellness. The present invention also provides social benefit by integrating a first individual's social network for uses in communication with the first individual's social network and in recalling the first individual's social network. The present invention further includes a unique algorithm for personalizing information and methodologies of implementing and displaying the educational tool to a first individual thereof.