Abstract: Apparatuses, methods, and systems for a computer-implemented method for electronic message generation are disclosed. One method includes receiving, by a server, an input description from a user, scraping, by the server, characteristics of other electronic messages of the user including at least colors and fonts, generating, by the server, N message sections based on the input description and the scraped characteristics, applying, by the server, colors, fonts, and designs to the generated N message sections, filtering, by the server, the generated N message sections to eliminate message sections that include pre-identified undesired characteristics, displaying, by the server, the filtered electronic message sections to the user, and receiving, by the server, feedback from the user regarding the displayed filtered electronic message sections.

Abstract: Apparatuses, methods, and systems for electronic categorization of sub-users of a database for receiving an electronic action are disclosed.

Abstract: Apparatuses, methods, and systems for electronic categorization of sub-users of a database for receiving an electronic action are disclosed.

Abstract: Apparatuses, methods, and systems for a computer-implemented method for electronic message generation are disclosed. One method includes receiving, by a server, an input description from a user, scraping, by the server, characteristics of other electronic messages of the user including at least colors and fonts, generating, by the server, N message sections based on the input description and the scraped characteristics, applying, by the server, colors, fonts, and designs to the generated N message sections, filtering, by the server, the generated N message sections to eliminate message sections that include pre-identified undesired characteristics, displaying, by the server, the filtered electronic message sections to the user, and receiving, by the server, feedback from the user regarding the displayed filtered electronic message sections.

Abstract: Apparatuses, methods, and systems for electronic categorization of sub-users of a database for receiving an electronic action are disclosed.

Abstract: Apparatuses, methods, and systems for a computer-implemented method for electronic message generation are disclosed. One method includes receiving, by a server, an input description from a user, scraping, by the server, characteristics of other electronic messages of the user including at least colors and fonts, generating, by the server, N message sections based on the input description and the scraped characteristics, applying, by the server, colors, fonts, and designs to the generated N message sections, filtering, by the server, the generated N message sections to eliminate message sections that include pre-identified undesired characteristics, displaying, by the server, the filtered electronic message sections to the user, and receiving, by the server, feedback from the user regarding the displayed filtered electronic message sections.

Abstract: The invention provides for thermostable spray dried formulations including vaccines and pharmaceutical compositions for inducing or enhancing an immune response and methods of use thereof. The spray dried formulations are a dry powder generally comprising an antigen and/or an adjuvant, a metabolizable oil, and one or more excipients.

Abstract: In some embodiments, a service platform that facilitates artificial intelligence model and data collection and collection may be provided. Input/output information derived from machine learning models may be obtained via the service platform. The input/output information may indicate (i) first items provided as input to at least one model of the machine learning models, (ii) first prediction outputs derived from the at least one model's processing of the first items, (iii) second items provided as input to at least another model of the machine learning models, (iv) second prediction outputs derived from the at least one other model's processing of the second items, and (v) other inputs and outputs. The input/output information may be provided via the service platform to update a first machine learning model. The first machine learning model may be updated based on the input/output information being provided as input to the first machine learning model.

Abstract: A method of using the transverse relaxation rate (R2) of solvent NMR signal to noninvasively assess if an alum-containing product, such as a vaccine, has been acceptably resuspended for use following transport and/or storage. This technique allows for the manufacturer and/or distributor and/or end user to monitor for unexpected stressors associated with transport and/or storage including, but not limited to, temperature fluctuations, pH changes, vigorous shaking during transportation, exposure to sunlight, and freezing.

Abstract: Disclosed are compositions for eliciting anti-SARS-CoV-2 immune responses in subjects. In some embodiments, the compositions include one or more SARS-CoV-2 antigens and one or more PEGylated liposomal adjuvants, wherein at least one of the PEGylated liposomal adjuvants includes a cholesterol, a non-PEGylated neutral lipid, and a PEGylated lipid. Also provided are methods for using the presently disclosed compositions for stimulating anti-SARS-CoV-2 immune responses, for inducing anti-SARS-CoV-2 Th1 responses, for stimulating systemic immune responses and/or mucosal immune responses, for inducing anti-SARS-CoV-2 IgA responses, for reducing SARS-CoV-2-induced lung injuries, and for inducing anti-SARS-CoV-2 neutralizing antibodies in subjects in need thereof.

Abstract: Methods and systems for improved and efficient exemplary campaign message generation are disclosed. By automating the exemplary campaign message generation process, the system can improve the selection efficiency and quality of these messages, which can be used to inspire prospective campaign generators. Furthermore, the selected exemplary messages are dynamically diversified to meet the needs of different campaign generators.

Abstract: A method of using the transverse relaxation rate (R2) of solvent NMR signal to noninvasively assess alum-containing products such as vaccines. This technique can be used for quality control in vaccine manufacturing (e.g., fill-finish step) to determine the evenness of alum filling level as well as extent of alum particle sedimentation in filled and sealed products.

Abstract: In some embodiments, user-selectable/connectable model representations may be provided via a user interface to facilitate artificial intelligence development. The model representations may comprises first and second machine learning model (ML) representations corresponding to first and second ML models, and non-ML model representations corresponding to non-ML models. Based on user input indicating selection of the first and second ML model representations and a non-ML model representation corresponding to a non-ML model, at least a portion of a software application may be generated such that the software application comprises (i) an instance of the first ML model, an instance of the second ML model, and an instance of the non-ML model and (ii) an input/output data path between the instance of the first ML model and at least one other instance, the at least one other instance comprising the instance of the second ML model or the instance of the non-ML model.

Abstract: Formulations and methods, including vaccines and pharmaceutical compositions for inducing or enhancing an immune response are disclosed. The formulations generally comprise a TLR4 agonist and a metabolizable oil at a concentration of about 0.01%-1% v/v, wherein the hydrophobic:lipophilic balance (HLB) of the emusion is greater than about 9.

Abstract: A method of using the transverse relaxation rate (R2) of solvent NMR signal to noninvasively assess alum-containing products such as vaccines. This technique can be used for quality control in vaccine manufacturing (e.g., fill-finish step) to determine the evenness of alum filling level as well as extent of alum particle sedimentation in filled and sealed products.

Abstract: Formulations and methods, including vaccines and pharmaceutical compositions for inducing or enhancing an immune response are disclosed. The formulations generally comprise a TLR4 agonist and a metabolizable oil at a concentration of about 0.01%-1% v/v, wherein the hydrophobic:lipophilic balance (HLB) of the emulsion is greater than about 9.

Abstract: In certain embodiments, content items may be obtained, where each of the content items may include multiple data types. Machine learning models may be caused to be trained based on the content items to map data in a vector space by providing at least a first portion of each of the content items as input to at least one of the machine learning models and providing at least a second portion of each of the content items as input to at least another one of the machine learning models. A search request for results may be obtained, where the search request includes search parameters. One or more locations within the vector space may be predicted (e.g., by one or more of the machine learning models) based on the search parameters. Information (indicating content items mapped to or proximate the predicted locations) may be provided as a request response.

Abstract: The invention provides for thermostable spray dried formulations including vaccines and pharmaceutical compositions for inducing or enhancing an immune response and methods of use thereof. The spray dried formulations are a dry powder generally comprising an antigen and/or an adjuvant, a metabolizable oil, and one or more excipients.

Abstract: In certain embodiments, content items may be obtained, where each of the content items may include multiple data types. Machine learning models may be caused to be trained based on the content items to map data in a vector space by providing at least a first portion of each of the content items as input to at least one of the machine learning models and providing at least a second portion of each of the content items as input to at least another one of the machine learning models. A search request for results may be obtained, where the search request includes search parameters. One or more locations within the vector space may be predicted (e.g., by one or more of the machine learning models) based on the search parameters. Information (indicating content items mapped to or proximate the predicted locations) may be provided as a request response.

Abstract: In some embodiments, a service platform that facilitates artificial intelligence model and data collection and collection may be provided. Input/output information derived from machine learning models may be obtained via the service platform. The input/output information may indicate (i) first items provided as input to at least one model of the machine learning models, (ii) first prediction outputs derived from the at least one model's processing of the first items, (iii) second items provided as input to at least another model of the machine learning models, (iv) second prediction outputs derived from the at least one other model's processing of the second items, and (v) other inputs and outputs. The input/output information may be provided via the service platform to update a first machine learning model. The first machine learning model may be updated based on the input/output information being provided as input to the first machine learning model.