Abstract: A method for generating a module configured to determine concentration of an analyte in a sample of a body fluid is disclosed. The method includes providing a first set of measurement data derived from images of one or more test strips indicating a color transformation in response to a body fluid containing an analyte. The images can be recorded by multiple devices with differing cameras, software and/or hardware device configurations for image recording and image data processing. A neural network model can be generated in a machine learning process applying an artificial neural network and a module configured to determine concentration of an analyte in a second sample of a body fluid can be generated. Further, the present disclosure includes a system for generating the module as well as a method and a system for determining concentration of an analyte in a sample of a bodily fluid.

Abstract: Systems and methods are provided for improving nutritional element content estimates from one or more individuals and/or determining a therapy or treatment based on a nutritional element content estimate and improving diabetes management. The systems and methods include a therapy or treatment display based on at least one nutritional element content estimate and at least one proficiency index respectively assigned to an individual to improve accuracy and reliability when estimating nutritional element content in foods and/or therapy or treatment based therefrom.

Abstract: Systems and methods are provided for improving nutritional element content estimates from one or more individuals and/or determining a therapy or treatment based on a nutritional element content estimate and improving diabetes management. The systems and methods include a therapy or treatment display based on at least one nutritional element content estimate and at least one proficiency index respectively assigned to an individual to improve accuracy and reliability when estimating nutritional element content in foods and/or therapy or treatment based therefrom.

Abstract: A method is disclosed for determining concentration of an analyte in a body fluid with a mobile device having a camera. The camera captures an image of an optical test strip having a test field. The analyte concentration value is determined from color formation of the test field. Provided in the mobile device is a correlation for transforming color formation of the test field into analyte concentration. Also provided in the mobile device is an item of clearance information indicating a level of confidence for the correlation. When the item of clearance information indicates a sufficient level of confidence for the correlation, the mobile device indicates to a user that the capturing of the image does not require using a color reference card. Further disclosed are a method of controlling analytical measurements, a mobile device, a system for controlling analytical measurements and computer programs for performing and/or controlling analytical measurements.

Abstract: A method for adjusting a measurement setup used in an analytical method. The method includes a plurality of users carrying out analyte measurements that involve capturing images of an optical test strip having a test field and obtaining training data. The training data is then used to identify similarities and to identify a plurality of user profiles according to the similarities. Then, profile-specific measurement setup adjustments for at least one of the user profiles are provided for the individual user profile. An analytical method, an adjustment system and a mobile device are also disclosed.

Abstract: A method for generating a module configured to determine concentration of an analyte in a sample of a body fluid is disclosed. The method includes providing a first set of measurement data derived from images of one or more test strips indicating a color transformation in response to a body fluid containing an analyte. The images can be recorded by multiple devices with differing cameras, software and/or hardware device configurations for image recording and image data processing. A neural network model can be generated in a machine learning process applying an artificial neural network and a module configured to determine concentration of an analyte in a second sample of a body fluid can be generated. Further, the present disclosure includes a system for generating the module as well as a method and a system for determining concentration of an analyte in a sample of a bodily fluid.

Abstract: Medical device data manager configuration methods and systems including a medical device, a smart mobile device including a camera, a processor, a memory communicatively coupled to the processor, and machine readable instructions stored in the memory that may cause a system to perform at least the following when executed by the processor: use the camera of the smart mobile device to capture an image of the medical device; apply an identification algorithm to the image of the medical device; identify the medical device as an identified medical device based on the image of the medical device and the identification algorithm; and automatically configure a software application tool on the smart mobile device to retrieve data associated with one or more requirements of the identified medical device.

Abstract: Systems and methods are provided for improving nutritional element content estimates from one or more individuals and/or determining a therapy or treatment based on a nutritional element content estimate and improving diabetes management. The systems and methods include a therapy or treatment display based on at least one nutritional element content estimate and at least one proficiency index respectively assigned to an individual to improve accuracy and reliability when estimating nutritional element content in foods and/or therapy or treatment based therefrom.

Abstract: Medical device data manager configuration methods and systems including a medical device, a smart mobile device including a camera, a processor, a memory communicatively coupled to the processor, and machine readable instructions stored in the memory that may cause a system to perform at least the following when executed by the processor: use the camera of the smart mobile device to capture an image of the medical device; apply an identification algorithm to the image of the medical device; identify the medical device as an identified medical device based on the image of the medical device and the identification algorithm; and automatically configure a software application tool on the smart mobile device to retrieve data associated with one or more requirements of the identified medical device.

Abstract: Methods are disclosed for measuring an analyte concentration in a fluidic sample. Such methods further allow one to provide an error code or correct and/or compensate for interferents such as an antioxidant before providing an analyte concentration. The measurement methods utilize information obtained from test sequences having at least one DC block, where DC block includes at least one recovery potential, and where a closed circuit condition of the electrode system is maintained during the DC block. The methods use information relating to status of a redox mediator during the electrochemical analysis to provide a statistical antioxidant failsafe using either a classifier or a discriminator to determine whether the antioxidant is interfering with the analyte concentration. Also disclosed are devices, apparatuses and systems incorporating the various measurement methods.

Abstract: Methods are disclosed for measuring an analyte concentration in a fluidic sample. Such methods further allow one to provide an error code or correct and/or compensate for interferents such as an antioxidant before providing an analyte concentration. The measurement methods utilize information obtained from test sequences having at least one DC block, where DC block includes at least one recovery potential, and where a closed circuit condition of the electrode system is maintained during the DC block. The methods use information relating to status of a redox mediator during the electrochemical analysis to provide a statistical antioxidant failsafe using either a classifier or a discriminator to determine whether the antioxidant is interfering with the analyte concentration. Also disclosed are devices, apparatuses and systems incorporating the various measurement methods.

Abstract: A system for developing patient-specific therapies based on dynamic modeling of patient-specific physiology and method thereof are disclosed. The system includes software modules configured to provide access via a computer to one or more data collection protocols defining at least a type of patient-specific data to be collected and a manner in which the patient-specific data is to be collected, and to information from which one or more patient-specific models, configured to simulate one or more aspects of the patient's physiology, is developed. Another software module of the system is configured to provide access via the computer to one or more software tools that apply patient-specific data, collected according to the one or more data collection protocols, to the one or more patient specific models to determine therefrom one or more patient-specific therapies.

Abstract: A diagnosis, therapy and prognosis system (DTPS) and method thereof to help either the healthcare provider or the patient in diagnosing, treating and interpreting data are disclosed. The apparatus provides data collection based on protocols, and mechanism for testing data integrity and accuracy. The data is then driven through an analysis engine to characterize in a quantitative sense the metabolic state of the patient's body. The characterization is then used in diagnosing the patient, determining therapy, evaluating algorithm strategies and offering prognosis of potential use case scenarios.

Abstract: A therapy delivery system having an open architecture and method of providing thereof are disclosed. The present invention provides a therapy dosage module having a control algorithm that can be replaced with a predefined or independently defined control algorithm. The tools necessary to create and test such control algorithms in the therapy dosage module in a simulated environment before implementing it in a live therapy system are also disclosed.

Abstract: A therapy delivery system having an open architecture and method of providing thereof are disclosed. The present invention provides a therapy dosage module having a control algorithm that can be replaced with a predefined or independently defined control algorithm. The tools necessary to create and test such control algorithms in the therapy dosage module in a simulated environment before implementing it in a live therapy system are also disclosed.

Abstract: A therapy delivery system having an open architecture and method of providing thereof are disclosed. The present invention provides a therapy dosage module having a control algorithm that can be replaced with a predefined or independently defined control algorithm. The tools necessary to create and test such control algorithms in the therapy dosage module in a simulated environment before implementing it in a live therapy system are also disclosed.

Abstract: A system for determining drug administration information may comprise an input device providing for user input of feed forward information having a first parameter component and a second parameter component, a data storage device and a processor. The data storage device may have stored therein a map correlating values of the first and second parameters to drug administration information. The processor may be responsive to user input of the feed forward information to determine corresponding drug administration information according to the map.

Abstract: A diagnosis, therapy and prognosis system (DTPS) and method thereof to help either the healthcare provider or the patient in diagnosing, treating and interpreting data are disclosed. The apparatus provides data collection based on protocols, and mechanism for testing data integrity and accuracy. The data is then driven through an analysis engine to characterize in a quantitative sense the metabolic state of the patient's body. The characterization is then used in diagnosing the patient, determining therapy, evaluating algorithm strategies and offering prognosis of potential use case scenarios.

Abstract: A therapy delivery system having an open architecture and method of providing thereof are disclosed. The present invention provides a therapy dosage module having a control algorithm that can be replaced with a predefined or independently defined control algorithm. The tools necessary to create and test such control algorithms in the therapy dosage module in a simulated environment before implementing it in a live therapy system are also disclosed.

Abstract: A system for developing patient-specific therapies based on dynamic modeling of patient-specific physiology and method thereof are disclosed. The system includes software modules configured to provide access via a computer to one or more data collection protocols defining at least a type of patient-specific data to be collected and a manner in which the patient-specific data is to be collected, and to information from which one or more patient-specific models, configured to simulate one or more aspects of the patient's physiology, is developed. Another software module of the system is configured to provide access via the computer to one or more software tools that apply patient-specific data, collected according to the one or more data collection protocols, to the one or more patient specific models to determine therefrom one or more patient-specific therapies.