Abstract: Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

Abstract: Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

Abstract: Systems and methods for a continuous monitoring of analyte values received from an analyte sensor system are provided. One method for a wireless data communication between an analyte sensor system and a mobile device involves storing identification information associated with a transceiver of the analyte sensor system, the identification information entered by a user of the mobile device via a custom application running on the mobile device; causing the custom application to enter a background mode; searching for advertisement signals; receiving an advertisement signal from the transceiver; authenticating the transceiver based on the identification information; prompting the user to bring the custom application to a foreground mode; causing the custom application to request a confirmation from the user that a data connection with the transceiver is desired; receiving the confirmation from the user; and completing the data connection with the transceiver.

Abstract: This invention reveals the pharmaceutical composition that includes the surface antigen (HBsAg) of the hepatitis B virus (HBV) and the antigen of the nucleocapsid (or core, HBcAg) of the same virus. The HBcAg of this composition contains messenger ribonucleic acid (mRNA) at a proportion of over 45% of the total amount of ribonucleic acid (RNA) in this antigen. Because of the changes in the constitution of the antigens forming it, the composition of the invention is useful for the prevention or treatment of chronic hepatitis B. It also covers the use of this pharmaceutical composition in the production of a drug for immuno-prophylaxis or immunotherapy against HBV infection, and its use to increase the immune response against an additional antigen that is co-administered with the mixture of these antigens.

Abstract: Systems and methods for a continuous monitoring of analyte values received from an analyte sensor system are provided. One method for a wireless data communication between an analyte sensor system and a mobile device involves storing identification information associated with a transceiver of the analyte sensor system, the identification information entered by a user of the mobile device via a custom application running on the mobile device; causing the custom application to enter a background mode; searching for advertisement signals; receiving an advertisement signal from the transceiver; authenticating the transceiver based on the identification information; prompting the user to bring the custom application to a foreground mode; causing the custom application to request a confirmation from the user that a data connection with the transceiver is desired; receiving the confirmation from the user; and completing the data connection with the transceiver.

Abstract: Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: A system is provided for monitoring analyte in a host, including a continuous analyte sensor that produces a data stream indicative of a host's analyte concentration and a device that receives and records data from the data stream from the continuous analyte sensor. In one embodiment, the device includes a single point analyte monitor, from which it obtains an analyte value, and is configured to display only single point analyte measurement values, and not any analyte measurement values associated with data received from the continuous analyte sensor. Instead, data received from the continuous analyte sensor is used to provide alarms to the user when the analyte concentration and/or the rate of change of analyte concentration, as measured by the continuous analyte sensor, is above or below a predetermined range. Data received from the continuous analyte sensor may also be used to prompt the diabetic or caregiver to take certain actions, such as to perform another single point blood glucose measurement.

Abstract: Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: Disclosed are systems and methods for providing automated or semi-automated technical support for patients using medical devices, such as continuous glucose monitoring systems. Disclosed embodiments of automated tech support system include collection and storage of copies of streams of medical device data on multiple servers, analysis and comparison of data streams, remote tech support initiation and usage of the automated tech support system for providing improved products and services by storing and analyzing historical tech support data.

Abstract: A system is provided for monitoring analyte in a host, including a continuous analyte sensor that produces a data stream indicative of a host's analyte concentration and a device that receives and records data from the data stream from the continuous analyte sensor. In one embodiment, the device includes a single point analyte monitor, from which it obtains an analyte value, and is configured to display only single point analyte measurement values, and not any analyte measurement values associated with data received from the continuous analyte sensor. Instead, data received from the continuous analyte sensor is used to provide alarms to the user when the analyte concentration and/or the rate of change of analyte concentration, as measured by the continuous analyte sensor, is above or below a predetermined range. Data received from the continuous analyte sensor may also be used to prompt the diabetic or caregiver to take certain actions, such as to perform another single point blood glucose measurement.

Abstract: This invention reveals the pharmaceutical composition that includes the surface antigen (HBsAg) of the hepatitis B virus (HBV) and the antigen of the nucleocapsid (or core, HBcAg) of the same virus. The HBcAg of this composition contains messenger ribonucleic acid (mRNA) at a proportion of over 45% of the total amount of ribonucleic acid (RNA) in this antigen. Because of the changes in the constitution of the antigens forming it, the composition of the invention is useful for the prevention or treatment of chronic hepatitis B. It also covers the use of this pharmaceutical composition in the production of a drug for immuno-prophylaxis or immunotherapy against HBV infection, and its use to increase the immune response against an additional antigen that is co-administered with the mixture of these antigens.

Abstract: Systems and methods for a continuous monitoring of analyte values received from an analyte sensor system are provided. One method for a wireless data communication between an analyte sensor system and a mobile device involves storing identification information associated with a transceiver of the analyte sensor system, the identification information entered by a user of the mobile device via a custom application running on the mobile device; causing the custom application to enter a background mode; searching for advertisement signals; receiving an advertisement signal from the transceiver; authenticating the transceiver based on the identification information; prompting the user to bring the custom application to a foreground mode; causing the custom application to request a confirmation from the user that a data connection with the transceiver is desired; receiving the confirmation from the user; and completing the data connection with the transceiver.

Abstract: Disclosed are systems and methods for providing automated or semi-automated technical support for patients using medical devices, such as continuous glucose monitoring systems. Disclosed embodiments of automated tech support system include collection and storage of copies of streams of medical device data on multiple servers, analysis and comparison of data streams, remote tech support initiation and usage of the automated tech support system for providing improved products and services by storing and analyzing historical tech support data.

Abstract: Systems and methods for a continuous monitoring of analyte values received from an analyte sensor system are provided. One method for a wireless data communication between an analyte sensor system and a mobile device involves storing identification information associated with a transceiver of the analyte sensor system, the identification information entered by a user of the mobile device via a custom application running on the mobile device; causing the custom application to enter a background mode; searching for advertisement signals; receiving an advertisement signal from the transceiver; authenticating the transceiver based on the identification information; prompting the user to bring the custom application to a foreground mode; causing the custom application to request a confirmation from the user that a data connection with the transceiver is desired; receiving the confirmation from the user; and completing the data connection with the transceiver.

Abstract: Disclosed are systems and methods for providing automated or semi-automated technical support for patients using medical devices, such as continuous glucose monitoring systems. Disclosed embodiments of automated tech support system include collection and storage of copies of streams of medical device data on multiple servers, analysis and comparison of data streams, remote tech support initiation and usage of the automated tech support system for providing improved products and services by storing and analyzing historical tech support data.

Abstract: Systems, devices, and methods are disclosed for wireless communication of analyte data. One such method includes, during a first interval, establishing a first connection between an analyte sensor system and a display device. During the first connection, the method includes exchanging information related to authentication between the analyte sensor system and the display device. The method includes making a determination regarding whether authentication was performed during the first interval. During a second interval, the method may include establishing a second connection between the analyte sensor system and the display device for transmission of an encrypted analyte value, and bypassing the exchanging of information related to authentication performed during the first connection.

Abstract: Various embodiments relate generally to continuous monitoring of analyte values received from an analyte sensor system. In some example embodiments, there is provided a method that includes receiving sensor information, calculating and storing estimated analyte measurement values based upon the received sensor information. The method also includes determining one or more communication conditions, and instructing a transceiver to advertise to a first display device in accordance with one or more communication variables based upon the one or more communication conditions. The method then transmits the estimated analyte measurement values to the at least first display device. Related systems, methods, and articles of manufacture are also described.

Abstract: Various embodiments relate generally to continuous monitoring of analyte values received from an analyte sensor system. In some example embodiments, there is provided a method that includes receiving sensor information, calculating and storing estimated analyte measurement values based upon the received sensor information. The method also includes determining one or more communication conditions, and instructing a transceiver to advertise to a first display device in accordance with one or more communication variables based upon the one or more communication conditions. The method then transmits the estimated analyte measurement values to the at least first display device. Related systems, methods, and articles of manufacture are also described.

Abstract: Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

Abstract: Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.