A method includes storing a parameter related to a user, storing descriptive data for multiple identifiers, and indexing multiple events. Each event corresponds to a physical object supplied to a user on behalf of an entity. The method includes identifying a first set of identifiers based on commonality among the descriptive data. The method includes training a machine learning model for the first set of identifiers based on event data from within a predetermined epoch. The method includes receiving an indication of a selected identifier and determining a first intake metric of the selected identifiers using the machine learning model. The method includes determining a second intake metric of the selected identifier and the parameter and transforming the user interface according to the first and second intake metrics. The first intake metric represents an amount of resources expected to be received during a second epoch subsequent to the predetermined epoch.

Systems and methods for providing user-controlled access to prescribed medications are provided. A cloud-based prescription database includes prescriptions, each associated with a unique patient identifier, locations of pharmacies, and available stock for the pharmacies. A unique patient identifier is received from a user device and the related prescriptions are retrieved from the database and displayed for user selection. Pharmacies which are geographically proximate to a location of the given user device which report availability of the medication associated with the user selected prescription are displayed at a map at the given user device.

Systems and methods for providing user-controlled access to prescribed medications are provided. A cloud-based prescription database includes prescriptions, each associated with a unique patient identifier, locations of pharmacies, and available stock for the pharmacies. A unique patient identifier is received from a user device and the related prescriptions are retrieved from the database and displayed for user selection. Pharmacies which are geographically proximate to a location of the given user device which report availability of the medication associated with the user selected prescription are displayed at a map at the given user device.

A system, apparatus, and method for providing an automated translation engine for translating a prescription into a standardized format is generally disclosed. More particularly, embodiments described in this disclosure relate to a system, apparatus, and method for automatically receiving a prescription form, analyzing information provided on the prescription form, and translating the information into a standardized form that details medication information including medication administration directions that are easy for a reader to understand.

A system, apparatus, and method for providing an automated translation engine for translating a prescription into a standardized format is generally disclosed. More particularly, embodiments described in this disclosure relate to a system, apparatus, and method for automatically receiving a prescription form, analyzing information provided on the prescription form, and translating the information into a standardized form that details medication information including medication administration directions that are easy for a reader to understand.

Described is an injector system for implementing a split bolus injection procedure. The injector system includes a processor and a non-transitory storage medium having programming instructions stored therein that, when executed by the processor, enable the injector system to operate as a parameter generation system for use in determining parameters associated with a split bolus injection protocol via which injection of the contrast agent by the injector system is controlled. The split bolus injection protocol includes at least a loading injection and a diagnostic injection, wherein the loading injection is performed before the diagnostic injection, and wherein a pause separates the loading injection from the diagnostic injection. Also described is a method for patient imaging using a split bolus injection technique and a system having an imaging device and the injector system described above.

Described is an injector system for implementing a split bolus injection procedure. The injector system includes a processor and a non-transitory storage medium having programming instructions stored therein that, when executed by the processor, enable the injector system to operate as a parameter generation system for use in determining parameters associated with a split bolus injection protocol via which injection of the contrast agent by the injector system is controlled. The split bolus injection protocol includes at least a loading injection and a diagnostic injection, wherein the loading injection is performed before the diagnostic injection, and wherein a pause separates the loading injection from the diagnostic injection. Also described is a method for patient imaging using a split bolus injection technique and a system having an imaging device and the injector system described above.

Systems, devices, and techniques are disclosed for administering and tracking medicine to patients and providing health management capabilities for patients and caregivers. In some aspects, a method includes receiving one or more analyte values associated with a health condition of the patient user; receiving contextual data associated with the patient user obtained by the mobile computing device, where the obtained contextual data includes information associated with a meal; determining a medicine metric value associated with an amount of medicine active in the body of the patient user; autonomously calculating a dose of the medicine without input from the user based at least on the one or more analyte values, the medicine metric value, and the information associated with a meal; and continuously displaying the calculated dose of the medicine.

Systems, devices, and techniques are disclosed for administering and tracking medicine to patients and providing health management capabilities for patients and caregivers. In some aspects, a method includes receiving one or more analyte values associated with a health condition of the patient user; receiving contextual data associated with the patient user obtained by the mobile computing device, where the obtained contextual data includes information associated with a meal; determining a medicine metric value associated with an amount of medicine active in the body of the patient user; autonomously calculating a dose of the medicine without input from the user based at least on the one or more analyte values, the medicine metric value, and the information associated with a meal; and continuously displaying the calculated dose of the medicine.

The present invention relates to a method for predicting a drug-drug interaction and a drug-food interaction by using structural information of a drug and, more particularly, to a method for predicting the mechanism of action and activity of a drug interaction through interaction prediction results expressed by a standardized sentence. When using a method for predicting a drug interaction according to the present invention, a drug interaction can be predicted quickly and accurately, and in particular, activity information of an unknown compound can also be predicted by expressing a prediction result by means of a sentence, and thus the method is very useful for developing a drug exhibiting desired activity without causing adverse effects.