Medtronic Minimed, Inc.

Althea Technologies, Inc.

Allena Pharmaceuticals, Inc.

Minimed, Inc.

Ajinomoto Althea, Inc.

John J Shin

Bhami Shenoy

Reena J Patel

Margaret Ellen McGrath

Teresa G Cachero

Danica Grujic

Aftab Rashid

Lekai Zhang

John Joseph Mastrototaro

Sami S Kanderian, Jr

Todd M Gross

Mark C Estes

Paul S Cheney, Ii

Jay A Yonemoto

Luis J Malave

Deborah Ruppert

Lu Wang

Richard S Yoon

Sami Kanderian

Kris R Holtzclaw

Clifford W Hague

Peter Hong

Kevin C Wells

Nandita D Dangui

Mike Dobbles

J Jeffrey Barlow

Nandita N Patel

William P Van Antwerp

Cary D Talbot

Garry M Steil

Richard E Purvis

Peter I Hong

Kerstin Rebrin

Paul V Goode, Jr

Margaret Ellen Mcgrath

Richard Yoon

Paul S Cheney

Oxalate decarboxylase crystals, including stabilized crystals, such as cross-linked crystals of oxalate decarboxylase, are disclosed. Methods to treat a disorder associated with elevated oxalate concentration using oxalate decarboxylase crystals are also disclosed. Additionally disclosed are methods of producing protein crystals.

Crystallized oxalate decarboxylase and methods of use

A method of calibrating glucose monitor data includes collecting the glucose monitor data over a period of time at predetermined intervals. It also includes obtaining at least two reference glucose values from a reference source that temporally correspond with the glucose monitor data obtained at the predetermined intervals. Also included is calculating the calibration characteristics using the reference glucose values and corresponding glucose monitor data to regress the obtained glucose monitor data. And, calibrating the obtained glucose monitor data using the calibration characteristics is included. In preferred embodiments, the reference source is a blood glucose meter, and the at least two reference glucose values are obtained from blood tests. In additional embodiments, calculation of the calibration characteristics includes linear regression and, in particular embodiments, least squares linear regression. Alternatively, calculation of the calibration characteristics includes non-linear regression. Data integrity may be verified and the data may be filtered.

Real time self-adjusting calibration algorithm

A communication station is for use with a medical device (such as an infusion pump) and a processing device (such as a computer). The communication station includes a housing, a medical device interface coupled to the housing, a processing device interface coupled to the housing and a processor coupled to the housing. The device interface interfaces with the medical device, and the processing device interface interfaces with the processing device. The processor provides a communication path between the medical device and the processing device such that programming and instructions may be communicated from the processing device to the medical device and data may be transferred from the medical device to the processing device. The communication station may be combined with a system that is capable of generating reports either locally or remotely. In addition, the medical device interface may be a cradle that is configurable to attach to different shaped medical devices.

Communication station and software for interfacing with an infusion pump, analyte monitor, analyte meter, or the like

A method of calibrating glucose monitor data includes collecting the glucose monitor data over a period of time at predetermined intervals. It also includes obtaining at least two reference glucose values from a reference source that temporally correspond with the glucose monitor data obtained at the predetermined intervals. Also included is calculating the calibration characteristics using the reference glucose values and the corresponding glucose monitor data to regress the obtained glucose monitor data. And calibrating the obtained glucose monitor data using the calibration characteristics is included. In preferred embodiments, the reference source is a blood glucose meter, and the at least two reference glucose values are obtained from blood tests. In additional embodiments, the calculation of the calibration characteristics is obtained using linear regression and in particular embodiments, least squares linear regression. Alternatively, the calculation of the calibration characteristics is obtained using non-linear regression.

A closed loop infusion system controls the rate that fluid is infused into the body of a user. The closed loop infusion system includes a sensor system, a controller, and a delivery system. The sensor system includes a sensor for monitoring a condition of the user. The sensor produces a sensor signal, which is representative of the condition of the user. The sensor signal is used to generate a controller input. The controller uses the controller input to generate commands to operate the delivery system. The delivery system infuses a liquid into the user at a rate dictated by the commands from the controller. Preferably, the sensor system monitors the glucose concentration in the body of the user, and the liquid infused by the delivery system into the body of the user includes insulin. The sensor system uses the sensor signal to generate a message that is sent to the delivery system. The message includes the information used to generate the controller input. The sensor may be a subcutaneous sensor in contact with interstitial fluid. Also, two or more sensors may be used by the sensor system.

Closed loop system for controlling insulin infusion

Glucose monitor calibration methods

Growing community of inventors

La Canada, CA, United States of America

John J Shin