Information identifying a specific patient and disposal information associated with a specific medicinal plant is obtained, and the information identifying the specific patient is encrypted. Progression of the specific medicinal plant through multiple stages including planting, growth, application of an additive, harvesting, finishing, assembling into at least one product, packaging, and delivery is monitored in association with the specific patient. Disposal of at least a portion of the raw form of the specific medicinal plant and at least a portion of the product resulting from assembling the specific medicinal plant is tracked in association with the specific patient. Inventory of the specific medicinal plant is updated based on the disposal. The encrypted information identifying the specific patient is transmitted with the updated inventory information to a central server via a wireless network for maintenance in accordance with government regulations.

Embodiments relate to systems and methods for gas delivery for personal medical consumption having safety features. A hydrogen or oxygen gas delivery system herein can include electrolytic cores performing electrolysis-based reactions, and obtain free hydrogen (H2) gas for collection and delivery to a user. In aspects, the electrolytic core(s) can be scaled to produce a sufficient amount of hydrogen (H2) or oxygen (O2) gas so that the user can ingest that gas directly, without a need for storage. The system can be portable, and configured with a delivery tube for transmitting hydrogen or oxygen gas to a user. While safety risks are generally minimal, the system can be configured with sensors to detect fault conditions or hazards such as combustion or overpressure, which can only be caused by deliberate user action to expose gaseous products to flame or spark, and even then would not be likely to trigger violent combustion.

The invention provides a method and a structure for balancing cannabinoid metabolites within a patient. Using a stool sample, a panel of cannabinoid metabolite levels is established and compared to ideal ranges thereof. Metabolites outside of the ideal range are treated with a cannabis product or alternatively with traditional medicines.

Techniques are provided for identifying interactions between natural medicines and modern medicines. A corpus of information is analyzed pertaining to interactions of natural medicines with modern medicines for treating a condition. A mapping is created, wherein natural medicines are mapped to modern medicines for treating the condition. An on-line clinical trial study group is created, allowing participation by users, wherein a participation in a group is allowed for a selected set of users based on a group medication usage profile. Information from participants in each group is collected, and the collected information is analyzed.

Techniques are provided for identifying interactions between natural medicines and modern medicines. A corpus of information is analyzed pertaining to interactions of natural medicines with modern medicines for treating a condition. A mapping is created, wherein natural medicines are mapped to modern medicines for treating the condition. An on-line clinical trial study group is created, allowing participation by users, wherein a participation in a group is allowed for a selected set of users based on a group medication usage profile. Information from participants in each group is collected, and the collected information is analyzed.

The present disclosure relates to methods and systems for obtaining a nutraceutical composition. The method comprises the use of genome-scale metabolic networks of microorganisms to identify nutraceutical compositions for one or more health conditions.

The present disclosure relates to methods and systems for obtaining a nutraceutical composition. The method comprises the use of genome-scale metabolic networks of microorganisms to identify nutraceutical compositions for one or more health conditions.

There is a need for more effective and efficient predictive data analysis, such as more effective and efficient data analysis solutions for performing predictive monitoring of the glucose-insulin endocrine metabolic regulatory system. Certain embodiments utilize systems, methods, and computer program products that perform predictive data analysis by utilizing at least one of glucose surge excursion detections, steady-state glucose-insulin machine learning models, and parameter space refinement machine learning models.

There is a need for more effective and efficient predictive data analysis, such as more effective and efficient data analysis solutions for performing predictive monitoring of the glucose-insulin endocrine metabolic regulatory system. Certain embodiments utilize systems, methods, and computer program products that perform predictive data analysis by utilizing at least one of glucose surge excursion detections, steady-state glucose-insulin machine learning models, and parameter space refinement machine learning models.

A method for generating a treatment plan for a psychological disorder uses both static and dynamic content to customize the logical model of the treatment plan for a particular patient. A file containing static content is generated at a static layer of a computer program. The file uses a machine readable format to define the treatment plan. A logical model that the program uses to implement the treatment plan is generated at a data modeling layer based on the static content. Events based on responses from the patient that were elicited in response to the static content are generated at an application logic layer. Dynamic content is created using the events. The logical model is then modified based on the dynamic content. The treatment plan is presented to the patient by a visualization layer based on the modified logical model. Responses to the treatment plan are received from the patient.