A computer-implemented method of auditing drug supply chain data gathered from a distributed ledger is disclosed. The method includes receiving a population of drug product records from the distributed ledger. The method includes receiving a first set of drug product criteria. The method includes determining a weighted probability for one or more drug product records of the population of drug product records. The method includes generating a randomized first subset of drug product records from the population of drug product records based on the weighted probability of the one or more drug product records. Other methods, systems, and the like for unbiased drug selection for audit are also disclosed.

Computational prediction of immunogenic epitopes is a promising platform for designing therapeutic and preventive vaccines. A potential target is, for example, the human immunodeficiency virus (HIV-1) for which, despite decades of efforts, no vaccine is available. Indeed, due to the enormous variability of the virus, a single formulation effective against all or most HIV strains might not be achievable. Moreover, upon infecting host cells, HIV-1 can integrate in the host genome and form long lasting latent reservoirs that are not susceptible to common antiretroviral treatments. Therefore, a therapeutic vaccine designed to eliminate infected cells might represent a key component of strategies aimed at curing the infection. We herein introduce an automated algorithm to produce personalized and population-based vaccines.

Computational prediction of immunogenic epitopes is a promising platform for designing therapeutic and preventive vaccines. A potential target is, for example, the human immunodeficiency virus (HIV-1) for which, despite decades of efforts, no vaccine is available. Indeed, due to the enormous variability of the virus, a single formulation effective against all or most HIV strains might not be achievable. Moreover, upon infecting host cells, HIV-1 can integrate in the host genome and form long lasting latent reservoirs that are not susceptible to common antiretroviral treatments. Therefore, a therapeutic vaccine designed to eliminate infected cells might represent a key component of strategies aimed at curing the infection. We herein introduce an automated algorithm to produce personalized and population-based vaccines.

Methods and systems for classifying and editing insurance claims records are described. In one embodiment, a method, which can be performed by a processor, includes determining that a first prescription drug prescribed to a first patient should be filled by a pharmacy, determining a first guidepost date and a second guidepost date related to the first prescription, determining a third guidepost date associated with a second prescription, comparing the third guidepost date to the first and second guidepost dates to determine whether the third guidepost date occurs after the first guidepost date and before the second guidepost date, and filling and dispensing the first prescription drug as a full prescription supply and the second prescription drug as a full prescription supply on the same dispense date when the third guidepost date occurs after the first guidepost date and before the second guidepost date.

Embodiments of a risk assessment and intervention platform architecture are disclosed, where the risk assessment and intervention platform can predict and reduce negative medical outcomes. Embodiments of the risk assessment and intervention platform may include components with controls or interface elements to receive instructions from clinicians to set parameters for interventions and then to enroll, track, and monitor patient activity through the medical treatment plans. Embodiments of a scoring engine are configured based on a specific medical treatment plan and intervention protocols to initiate intervention as needed.

A system for remotely managing a medication regimen includes a communication device usable by a target individual, a peripheral device that obtains biometric information of the target individual, an interactive medication dispenser, and a processor. The processor causes the communication device to enable a conversation interface associated with a virtual assistant that provides information, queries, and directions to a target individual, receives input from the target individual, information from the medication dispenser, and biometric information from the peripheral device, determines a status of management of the medication regimen based on the received data, determines a response based on the determined status, and transmits the response.

A method of creating a genetically personalized intravenous or intramuscular nutrition therapy treatment formula includes developing an initial mapping of individual micronutrients to SNPs, symptoms, conditions, and therapeutic objectives based on existing individual scientific literature references that link the specific micronutrient to an SNP, a symptom, a condition, or a therapeutic objective. The method includes receiving an SNP and a symptom, a condition, or a therapeutic objective for a patient, comparing the SNP, symptom, condition, therapeutic objective combination with the initial mapping to identify matching micronutrients, creating a custom treatment formula with the identified micronutrients, and treating the patient with the formula. Feedback data about the formula's effectiveness is received and the initial mapping is updated to account for the feedback data. This process is repeated for subsequent patients positioned geographically remotely from each other so that future patients are treated with reference to an updated current mapping.

A method of creating a genetically personalized intravenous or intramuscular nutrition therapy treatment formula includes developing an initial mapping of individual micronutrients to SNPs, symptoms, conditions, and therapeutic objectives based on existing individual scientific literature references that link the specific micronutrient to an SNP, a symptom, a condition, or a therapeutic objective. The method includes receiving an SNP and a symptom, a condition, or a therapeutic objective for a patient, comparing the SNP, symptom, condition, therapeutic objective combination with the initial mapping to identify matching micronutrients, creating a custom treatment formula with the identified micronutrients, and treating the patient with the formula. Feedback data about the formula's effectiveness is received and the initial mapping is updated to account for the feedback data. This process is repeated for subsequent patients positioned geographically remotely from each other so that future patients are treated with reference to an updated current mapping.

The present disclosure generally relates to user interfaces for health applications. In some embodiments, exemplary user interfaces for managing health and safety features on an electronic device are described. In some embodiments, exemplary user interfaces for managing the setup of a health feature on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described. In some embodiments, exemplary user interfaces for managing a biometric measurement taken using an electronic device are described. In some embodiments, exemplary user interfaces for providing results for captured health information on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described.

The present disclosure generally relates to user interfaces for health applications. In some embodiments, exemplary user interfaces for managing health and safety features on an electronic device are described. In some embodiments, exemplary user interfaces for managing the setup of a health feature on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described. In some embodiments, exemplary user interfaces for managing a biometric measurement taken using an electronic device are described. In some embodiments, exemplary user interfaces for providing results for captured health information on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described.