Abstract: Anti-PVRIG and anti-TIGIT antibodies are provided.

Abstract: Anti-PVRIG and anti-TIGIT antibodies are provided.

Abstract: A system is provided. The system includes a patient analysis (“PA”) computer device including at least one processor in communication with at least one memory device. The at least one processor is programmed to a) store a patient analysis model, b) receive a patent identifier associated with the patient; c) retrieve a plurality of claim information associated with the patient identifier; d) retrieve a plurality of electronic healthcare records (EHR) associated with the patient identifier; e) execute the patient analysis model to determine a patient risk score based on the plurality of claim information and the plurality of EHR; and f) present information about the patient to a healthcare provider.

Abstract: Aspects of the subject disclosure may include, for example, determining that an addressable user is subscribed to at least a first platform and a second platform that is different from the first platform, assigning an identification that maps to each of the first platform and the second platform, determining that an advertisement associated with a buyer is available to be delivered to the addressable user via the first platform, the second platform, or a combination thereof, in accordance with a first parameter associated with the addressable user and at least a second parameter associated with the first platform, the second platform, or the combination thereof, and responsive to the determining that the advertisement is available, delivering the advertisement to the addressable user in accordance with the identification. Other embodiments are disclosed.

Abstract: Using a centralized system, it is possible to allow multiple disparate health care providers to gain a complete view of data regarding a patient's health and health care. Data accessible through such a central system can also be made available for researchers after being de-identified. Data in such a central system can not only include data culled from traditional physical and electronic medical records, but can also include data from distributed diagnostic devices, such as fitness trackers and consumer diagnostic equipment. Such a central system could potentially be accessed through applications made available to patients and health care providers and, in implementations where they are present, such applications could also be used for other purposes, such as performing interactive health evaluations and making recommendations of actions to take to maintain or restore a user's health.

Abstract: Aspects of the subject disclosure may include, for example, determining that an addressable user is subscribed to at least a first platform and a second platform that is different from the first platform, assigning an identification that maps to each of the first platform and the second platform, determining that an advertisement associated with a buyer is available to be delivered to the addressable user via the first platform, the second platform, or a combination thereof, in accordance with a first parameter associated with the addressable user and at least a second parameter associated with the first platform, the second platform, or the combination thereof, and responsive to the determining that the advertisement is available, delivering the advertisement to the addressable user in accordance with the identification. Other embodiments are disclosed.

Abstract: Using a centralized system, it is possible to allow multiple disparate health care providers to gain a complete view of data regarding a patient's health and health care. Data accessible through such a central system can also be made available for researchers after being de-identified. Data in such a central system can not only include data culled from traditional physical and electronic medical records, but can also include data from distributed diagnostic devices, such as fitness trackers and consumer diagnostic equipment. Such a central system could potentially be accessed through applications made available to patients and health care providers and, in implementations where they are present, such applications could also be used for other purposes, such as performing interactive health evaluations and making recommendations of actions to take to maintain or restore a user's health.

Abstract: A dual code authentication process combining a visible QR code with an invisible randomly generated code which can be alpha, numeric, symbol or image that can only be read with a reading device. A data generation engine is used to create the generated code which is assigned to the QR code and stored in a cloud based database. The QR code is decodable by a handheld reading device which communicates with the cloud based database releasing a copy of the generated code to the reading device. A reader is then used to decode the invisible printed code wherein the user can compare the printed code on the document and the code stored on the cloud based database to determine a match and authenticity.

Abstract: Using a centralized system, it is possible to allow multiple disparate health care providers to gain a complete view of data regarding a patient's health and health care. Data accessible through such a central system can also be made available for researchers after being de-identified. Data in such a central system can not only include data culled from traditional physical and electronic medical records, but can also include data from distributed diagnostic devices, such as fitness trackers and consumer diagnostic equipment. Such a central system could potentially be accessed through applications made available to patients and health care providers and, in implementations where they are present, such applications could also be used for other purposes, such as performing interactive health evaluations and making recommendations of actions to take to maintain or restore a user's health.

Abstract: Aspects of the subject disclosure may include, for example, determining that an addressable user is subscribed to at least a first platform and a second platform that is different from the first platform, assigning an identification that maps to each of the first platform and the second platform, determining that an advertisement associated with a buyer is available to be delivered to the addressable user via the first platform, the second platform, or a combination thereof, in accordance with a first parameter associated with the addressable user and at least a second parameter associated with the first platform, the second platform, or the combination thereof, and responsive to the determining that the advertisement is available, delivering the advertisement to the addressable user in accordance with the identification. Other embodiments are disclosed.

Abstract: A computing entity accesses instances of medical information corresponding to a population of patients and generates a plurality of medical sentences corresponding to the population by, for each patient of the population, generating one medical sentence corresponding to the patient and a timestamp associated with each instance such that the one medical sentence comprises one or more medical codes in a chronological order. The computing entity generates a vector dictionary comprising a plurality of multi-dimensional vectors based on a vector generation model trained using machine learning and the plurality of medical sentences with each multi-dimensional vector corresponding to a medical code. The computing entity generates a digital representation of a first patient of the population using an anagram model and the vector dictionary, determines a health state of the first patient based on the digital representation, and provides an output indicating the health state of the first patient.

Abstract: A three-dimensional visualization of patient medical information is provided via a user interface of a user computing entity. Responsive to receiving user input, the user computing entity transmits a visualization request that comprises a patient indication and a desired visualization type indication. The user computing entity receives a three-dimensional visualization corresponding to the patient indication and the desired visualization type indication. The three-dimensional visualization is generated by mapping one or more medical codes each to a corresponding set of x, y, z coordinates. The three-dimensional visualization is displayed via the interactive user interface and comprises (a) a graphical representation of a human body corresponding to the x, y, z coordinates and (b) one or more points and/or zones. Each point and/or zone (i) is mapped to a location on the graphical representation of the human body via a body coordinate and (ii) corresponds to a medical code.

Abstract: A dual code authentication process combining a visible QR code with an invisible randomly generated code which can be alpha, numeric, symbol or image that can only be read with a reading device. A data generation engine is used to create the generated code which is assigned to the QR code and stored in a cloud based database. The QR code is decodable by a handheld reading device which communicates with the cloud based database releasing a copy of the generated code to the reading device. A reader is then used to decode the invisible printed code wherein the user can compare the printed code on the document and the code stored on the cloud based database to determine a match and authenticity.

Abstract: A dual code authentication process combining a visible QR code with an invisible randomly generated code which can be alpha, numeric, symbol or image that can only be read with a reading device. A data generation engine is used to create the generated code which is assigned to the QR code and stored in a cloud based database. The QR code is decodable by a handheld reading device which communicates with the cloud based database releasing a copy of the generated code to the reading device. A reader is then used to decode the invisible printed code wherein the user can compare the printed code on the document and the code stored on the cloud based database to determine a match and authenticity.

Abstract: A computing entity accesses instances of medical information corresponding to a population of patients and generates a plurality of medical sentences corresponding to the population by, for each patient of the population, generating one medical sentence corresponding to the patient and a timestamp associated with each instance such that the one medical sentence comprises one or more medical codes in a chronological order. The computing entity generates a vector dictionary comprising a plurality of multi-dimensional vectors based on a vector generation model trained using machine learning and the plurality of medical sentences with each multi-dimensional vector corresponding to a medical code. The computing entity generates a digital representation of a first patient of the population using an anagram model and the vector dictionary, determines a health state of the first patient based on the digital representation, and provides an output indicating the health state of the first patient.

Abstract: A three-dimensional visualization of patient medical information is provided via a user interface of a user computing entity. Responsive to receiving user input, the user computing entity transmits a visualization request that comprises a patient indication and a desired visualization type indication. The user computing entity receives a three-dimensional visualization corresponding to the patient indication and the desired visualization type indication. The three-dimensional visualization is generated by mapping one or more medical codes each to a corresponding set of x, y, z coordinates. The three-dimensional visualization is displayed via the interactive user interface and comprises (a) a graphical representation of a human body corresponding to the x, y, z coordinates and (b) one or more points and/or zones. Each point and/or zone (i) is mapped to a location on the graphical representation of the human body via a body coordinate and (ii) corresponds to a medical code.

Abstract: Methods and instruments for repairing soft tissues of a skeletal joint such as for example of the foot or hand are presented.

Abstract: A dual code authentication process combining a visible QR code with an invisible randomly generated code which can be alpha, numeric, symbol or image that can only be read with a reading device. A data generation engine is used to create the generated code which is assigned to the QR code and stored in a cloud based database. The QR code is decodable by a handheld reading device which communicates with the cloud based database releasing a copy of the generated code to the reading device. A reader is then used to decode the invisible printed code wherein the user can compare the printed code on the document and the code stored on the cloud based database to determine a match and authenticity.

Abstract: Methods and systems for searching enterprise data are provided. The method is for searching data and includes identifying edges associating data and/or people. The method also includes assigning a resistance value to an edge based on strength(s) of association, the resistance value being inversely related to the strength of the association. The method further includes forming a resistance graph connecting the user with the data and the people based on the values of the edges. Additionally, the method includes providing results for a search query from a user based on the resistance graph with lower resistance values being prioritized for the user.

Abstract: Using a centralized system, it is possible to allow multiple disparate health care providers to gain a complete view of data regarding a patient's health and health care. Data accessible through such a central system can also be made available for researchers after being de-identified. Data in such a central system can not only include data culled from traditional physical and electronic medical records, but can also include data from distributed diagnostic devices, such as fitness trackers and consumer diagnostic equipment. Such a central system could potentially be accessed through applications made available to patients and health care providers and, in implementations where they are present, such applications could also be used for other purposes, such as performing interactive health evaluations and making recommendations of actions to take to maintain or restore a user's health.