The present invention provides a closed loop control method to control an artificial pancreas and the artificial pancreas using this method, comprising constructing an autoregressive model by initiatively introducing the insulin absorption lag factor, calculating an amount of insulin to be delivered at the current time using the autoregressive model and a PID controller respectively, and tuning the parameters of the autoregressive model and the PID controller respectively using the average of the calculation results in order to provide a more accurate prediction of glucose trends and a more desirable amount of insulin delivery.

A drug delivery system having a drug delivery device and an associated sensor is provided. The sensor can be associated with a sensing site on user. The drug delivery device can be positioned over the sensor in any rotational position and can be associated with an infusion site on the user. The close positioning of the sensor and the drug delivery device allows data from the sensor to be relayed to the drug delivery device and then on to a remote control device. Further, the drug delivery device can be replaced at the end of its duration of use, which is shorter than the duration of use of the sensor, without disturbing the sensor. Subsequent drug delivery devices can then be used with the sensor while allowing each corresponding infusion site to be changed, thereby providing more efficient operation of the drug delivery system.

Systems and methods for extracting blood glucose patterns and suggesting a behavior may include receiving, at a computing device comprising a processor, temporal data including information regarding glucose readings; identifying, by the computing device, at least one pattern based on metabolite levels extracted from the temporal data the model including variables corresponding to each of the patterns; formulating, by the computing device, a model for predicting a metabolic response; and storing the model on a data storage device. Based on the model, the behavior may be suggested to maintain a blood glucose level within a desired range.

A physiologic sensor module includes at least one wearable sensor that is configured for wearing on a human body part and for measuring at least one biological signal. The module further includes at least one controller communicatively coupled to the wearable sensor and configured to receive the biological signal from the wearable sensor. The controller is further configured to process the biological signal in real-time, extract one or more clinical features from the biological signal, and based on the clinical features, determine detection of anaphylaxis.

Methods, structures, and systems are disclosed for biosensing and drug delivery techniques. In one aspect, a^ device for detecting an analyte and/or releasing a biochemical into a biological fluid can include an array of hollowed needles, in which each needle includes a protruded needle structure including an exterior wall forming a hollow interior and an opening at a terminal end of the protruded needle structure that exposes the hollow interior, and a probe inside the exterior wall to interact with one or more chemical or biological substances that come in contact with the probe via the opening to produce a probe sensing signal, and an array of wires that are coupled to probes of the array of hollowed needles, respectively, each wire being electrically conductive to transmit the probe sensing signal produced by a respective probe.

An integrated system for injection including an injection device in electronic connection with a communication device is provided. The external communication device may be a handheld electronic device such as a Smartphone or a dedicated reader such as a reader capable of reading information contained on an RFID tag. The injection device includes a needle and a drug delivery portion enclosed within an external housing. Optionally, a plurality of sensors is affixed to the surface of the needle to collect data about the injection and physical characteristics of the patient. The data may be recorded on a data capture module. The electronic chip may be a readable and writable electronic chip such as a non-volatile memory chip. Alternatively, the electronic chip is a passive RFID tag. The injection device may further include a data transmitter for sending information obtained from the data capture module to the external communications device.

A method of administering insulin includes receiving glucose measurements of a patient at a data processing device from a continuous glucose monitoring system. The glucose measurements are separated by a time interval. The method also includes receiving patient information at the data processing device and selecting a subcutaneous insulin treatment from a collection of subcutaneous insulin treatments. The selection is based on the glucose measurements and the patient information. The selection includes one or more of a subcutaneous standard program, a subcutaneous program without meal boluses, a meal-by-meal subcutaneous program without carbohydrate counting, a meal-by-meal subcutaneous program with carbohydrate counting, and a subcutaneous program for non-diabetic patients. The method also includes executing, using the data processing device, the selected subcutaneous insulin treatment.

Systems and methods for diabetes management with automatic basal and manual bolus insulin control are presented. An exemplary system includes a delivery device, a glucose sensor, and a controller. The delivery device delivers insulin and the glucose sensor measures glucose levels of the subject. A basal insulin dose is calculated using a model predictive control algorithm and physiological data of the subject including desired glucose levels, amounts of the delivered insulin and the measured glucose levels. A manual bolus insulin dose is initiated by the subject. The manual bolus insulin dose is modified based on one or both of the model predictive control algorithm and the physiological data of the subject. A total insulin dose is determined based on the modified manual bolus insulin dose and the calculated basal insulin dose, and delivered to the subject.

A system and method for measuring glucose levels in a user's blood without having to draw a blood sample. A wave energy source emits wave energy. A modified ceramic coaxial resonator is provided that receives the wave energy and produces a frequency oscillation. An opening is formed in a conductive layer surrounding the ceramic coaxial resonator. Skin tissue is pressed against the opening. The sample tissue alters the frequency oscillation created by the ceramic coaxial resonator. At least some of the altered frequency oscillation is indicative of blood glucose levels within the sample tissue.

The invention discloses a miniature closed-loop artificial pancreas system, comprising: infusion unit configured to deliver drugs; program unit comprising input end and output end, and the input end comprises a plurality of electrically connective regions for receiving signals of analyte data in the body fluid, after the output end is electrically connected to the infusion unit, according to the received signals of analyte data in the body fluid, the program unit controls whether the infusion unit delivers drugs; an infusion cannula with conductive area, the infusion cannula is the drug infusion channel; and a plurality of electrodes for detecting analyte data in body fluid, the electrode comprising conductive-area electrode and cannula-wall electrode, and one or more cannula-wall electrodes being located on/in the wall of the infusion cannula. It takes only one insertion to perform both analyte detection and drug infusion.