Abstract: A continuous (multi-)analyte sensor device is provided, comprising a (multi-)analyte sensor operably coupled to a signal transducer, the (multi-)analyte sensor comprising at least one membrane, the least one membrane comprising a least one first transducing element, and at least one of a mediator and/or a regenerative cofactor.

Abstract: Devices and methods for measuring a concentration of a target analyte in a biological fluid in vivo are provided herein. In some examples, a device includes an indwelling sensor and sensor electronics. The sensor may include a substrate; a first electrode disposed on the substrate; an ionophore disposed on the substrate to selectively transport the target ion to or within the first electrode; and a second electrode disposed on the substrate. The sensor electronics is configured to generate a signal corresponding to an electromotive force which is at least partially based on a potential difference that is generated between the first electrode and the second electrode responsive to the ionophore transporting the target ion to the first electrode.

Abstract: Flexible analyte sensors are provided. Flexible analyte sensors may be flexible continuous analyte sensors that facilitate continuous monitoring of an analyte such as blood glucose. The flexible analyte sensor may have a relatively flexible conductive or non-conductive core, may be formed from a plurality of substantially planar layers, or may be configured to transform from a freestanding sensor ex vivo to a non-freestanding sensor in vivo.

Abstract: Certain aspects of the present disclosure relate to methods and systems for predicting glycemic events in a patient induced as a result of physical activity. In certain aspects, a method includes monitoring a plurality of analytes of the patient continuously during a time period to obtain analyte data, the plurality of analytes including at least glucose and lactate. The method further includes processing the analyte data from the time period to determine an intensity level of physical activity engaged by the patient during the time period. The method further includes generating a glycemic event prediction using at least the analyte data for the plurality of analytes and the determination of physical activity intensity. The method further includes generating one or more recommendations for treatment for the patient based, at least in part, on the glycemic event prediction.

Abstract: An apparatus includes an analyte sensor, a memory, and a processor. The processor monitors, using the analyte sensor, an analyte of a patient during a time period to obtain measured analyte data for the analyte and monitors other measured sensor data indicative of a physiological state of the patient during the time period. The processor also determines, based on the physiological state of the patient during the time period, expected analyte data for the analyte and determines a correction factor based on the expected analyte data and the measured analyte data. The correction factor is indicative of an error in calibration of the analyte sensor. The processor also determines whether recalibration of the analyte sensor is possible. If recalibration is possible, the processor recalibrates the analyte sensor based on the correction factor, and if recalibration is not possible, the processor recommends, to the patient, to replace the analyte sensor.

Abstract: Techniques for data analysis and user guidance are provided. One or more current measurements of one or more current analyte levels for the user are received from a sensor. A pattern is generated based on the one or more current measurements and the one or more past measurements. A first alignment with a first user target is then determined based on the pattern, where the first user target relates to one or more of a mental state or physical state of the user. A first result is output to the user, based on the determined first alignment.

Abstract: Certain aspects of the present disclosure relate generally to a method for identifying a risk of sepsis in a body of a patient. The method includes measuring lactate concentrations associated with the body over one or more time periods. The method further includes identifying the risk of sepsis based on the lactate concentrations.

Abstract: Flexible analyte sensors are provided. Flexible analyte sensors may be flexible continuous analyte sensors that facilitate continuous monitoring of an analyte such as blood glucose. The flexible analyte sensor may have a relatively flexible conductive or non-conductive core, may be formed from a plurality of substantially planar layers, or may be configured to transform from a freestanding sensor ex vivo to a non-freestanding sensor in vivo.