A system for generating an immune protocol including a computing device configured to receive an immune biomarker, retrieve an immune profile, assign the immune profile to an immune category, determine, using the immune category and the immune profile, an elimination plan, including identifying an effect on the immune profile for each nutrition element consumed by the user, determine at least a nutrition element that contributes to the immune category, create, using the elimination plan, a reintroduction phase, including identifying a frequency associated with the nutrition element determined in the elimination plan, and identifying a magnitude associated with the nutrition element determined in the elimination plan, identify a plurality of protocol elements, wherein each contains a nutrient amount intended to prevent autoimmune disease, and generate an immune protocol as a function of the elimination plan, the reintroduction phase, and the plurality of protocol elements.

Disclosed herein is a method for preventing or controlling rosacea, psoriasis or eczema in a subject. The method comprises administering to the subject a diet that is low in fructose, oligosaccharides and/or polyol sugars.

Systems and methods for decryption of payloads are disclosed herein. In various embodiments, systems and methods herein are configured for decrypting thousands of transactions per second. Further, in particular embodiments, the systems and methods herein are scalable, such that many thousands of transactions can be processed per second upon replicating particular architectural components.

Methods and systems for providing various skin-related metrics and tracking the effects of skincare and cosmetic products are described. The system may acquire user images via optical scanning methods and analyze the images before and after application of a product to provide quantitative feedback to the user of beneficial or adverse effects of the product. The system may track response of the skin based on changes in inflammation, dryness, elasticity, pH levels, and/or microbiomes and correlate these changes with user information including ethnicity, location, and lifestyle to generate models that are capable of predicting a user's response to certain ingredients and/or predicting long-tern effects of certain ingredients on the skin.

Disclosed is a system for documenting clinical trials, the system when operated identifies at least one publication related to a clinical trial entry to obtain documented clinical trial. The system comprises: an information repository comprising plurality of publications; a clinical trials registry database comprising a plurality of clinical trial entries; and a server arrangement. The server arrangement is configured to: obtain the plurality of publications; analyze the plurality of publications, using a filtering module, to determine a filtered set of publications; obtain the plurality of clinical trial entries; analyze a context of each of the publications in the filtered set and each of the plurality of clinical trial entries using a mapping module to identify a relationship of each of the publication with at least one of the plurality of clinical trial entries; and associate the plurality of clinical trial entries with publications related thereto to obtain documented clinical trials.

Disclosed is a system for documenting clinical trials, the system when operated identifies at least one publication related to a clinical trial entry to obtain documented clinical trial. The system comprises: an information repository comprising plurality of publications; a clinical trials registry database comprising a plurality of clinical trial entries; and a server arrangement. The server arrangement is configured to: obtain the plurality of publications; analyze the plurality of publications, using a filtering module, to determine a filtered set of publications; obtain the plurality of clinical trial entries; analyze a context of each of the publications in the filtered set and each of the plurality of clinical trial entries using a mapping module to identify a relationship of each of the publication with at least one of the plurality of clinical trial entries; and associate the plurality of clinical trial entries with publications related thereto to obtain documented clinical trials.

The disclosure generally describes computer-implemented methods, software, and systems for accessing volumes of data records structured to include sets dimensions, each dimension labelled in a manner specific to respective entities; identifying candidates data records keyed by managed keys that span a subset of dimensions even though at least one dimension from the subset of dimensions is labelled differently between the different volumes; comparing the candidate data records from the different volumes to determine whether a particular managed key is valid based on contents of the candidate data records from the different volumes; in response to determining that the particular managed key is valid, combining the candidate data records keyed by the valid managed key to be merged and accessible as one continuous entry; and in response to determining that the particular managed key is invalid, combining the candidate data records from the different volumes as separate entries.

Certain examples provide systems, methods, and apparatus for a content-based clinical information system. An example system includes a reference platform to define and provide core system capabilities and to interpret and execute content items while remaining application neutral. The example system includes a plurality of content items authored independent of the reference platform to define clinical functionality for one or more content-based clinical applications by leveraging the reference platform. In the example system, the plurality of content items is to be created and deployed independently of the creation and deployment of the one or more content-based clinical applications. The plurality of content items is to remain independent of the implementation of the reference platform to allow independent evolution of the platform and the one or more content-based clinical applications.

Certain examples provide systems, methods, and apparatus for a content-based clinical information system. An example system includes a reference platform to define and provide core system capabilities and to interpret and execute content items while remaining application neutral. The example system includes a plurality of content items authored independent of the reference platform to define clinical functionality for one or more content-based clinical applications by leveraging the reference platform. In the example system, the plurality of content items is to be created and deployed independently of the creation and deployment of the one or more content-based clinical applications. The plurality of content items is to remain independent of the implementation of the reference platform to allow independent evolution of the platform and the one or more content-based clinical applications.

Therapeutic imagery is selected for administration to a patient, and the therapy is administered to the patient. The patient's responses to the therapeutic imagery are monitored, collected, and correlated with the associated therapeutic imagery attribute data to generate data indicating the effectiveness of the imagery. The therapeutic imagery effectiveness data is used as training data to train one or more machine learning based therapeutic imagery effectiveness prediction models. Data associated with one or more new therapeutic imagery attributes is provided as input to one or more of the trained therapeutic imagery effectiveness prediction models, which generates predicted therapeutic imagery effectiveness data for the new therapeutic imagery. The therapeutic imagery effectiveness data is analyzed to determine and select one or more effective therapeutic imagery attributes, resulting in generation of maximally effective therapeutic imagery.