Abstract: A diabetes management system or process is provided herein that may be used to analyze and recognize patterns for a large number of blood glucose concentration measurements and other physiological parameters related to the glycemia of a patient. In particular, a method of monitoring glycemia in a patient may include storing a patient's data on a suitable device, such as, for example, a blood glucose meter. The patient's data may include blood glucose concentration measurements. The diabetes management system or process may be installed on, but is not limited to, a personal computer, an insulin pen, an insulin pump, or a glucose meter. The diabetes management system or process may identify a plurality of pattern types from the data including a testing/dosing pattern, a hypoglycemic pattern, a hyperglycemic pattern, a blood glucose variability pattern, and a comparative pattern.

Abstract: A diabetes management system or process is provided herein that may be used to analyze and recognize patterns for a large number of blood glucose concentration measurements and other physiological parameters related to the glycemia of a patient. In particular, a method of monitoring glycemia in a patient may include storing a patient's data on a suitable device, such as, for example, a blood glucose meter. The patient's data may include blood glucose concentration measurements. The diabetes management system or process may be installed on, but is not limited to, a personal computer, an insulin pen, an insulin pump, or a glucose meter. The diabetes management system or process may identify a plurality of pattern types from the data including a testing/dosing pattern, a hypoglycemic pattern, a hyperglycemic pattern, a blood glucose variability pattern, and a comparative pattern.

Abstract: Various methods and system to provide insight into how certain commands to a patient's infusion pump impact glycemic control of the subject. These patterns help to identify very specific areas of glycemic excursions, enable patients and HCPs to more easily identify patterns of hypoglycemia and hyperglycemia in order to take steps to improve glycemic control of the person with diabetes.

Abstract: Various methods and systems to manage diabetes of a subject using data relating to patterns to provide insight into how a patient's daily activities impact glycemic control of the subject. These patterns help to identify very specific areas of glycemic excursions, enable patients and HCPs to more easily identify patterns of hypoglycemia and hyperglycemia in order to take steps to improve glycemic control of the person with diabetes.

Abstract: A diabetes management system or process is provided herein that may be used to analyze and recognize patterns for a large number of blood glucose concentration measurements and other physiological parameters related to the glycemia of a patient. In particular, a method of monitoring glycemia in a patient may include storing a patient's data on a suitable device, such as, for example, a blood glucose meter. The patient's data may include blood glucose concentration measurements. The diabetes management system or process may be installed on, but is not limited to, a personal computer, an insulin pen, an insulin pump, or a glucose meter. The diabetes management system or process may identify a plurality of pattern types from the data including a testing/dosing pattern, a hypoglycemic pattern, a hyperglycemic pattern, a blood glucose variability pattern, and a comparative pattern.

Abstract: A diabetes management system or process is provided herein that may be used to analyze and recognize patterns for a large amount of blood glucose concentration measurements and other physiological parameters related to the glycemia of a patient. In particular, a method of monitoring glycemia in a patient may include storing a patient's data on a suitable device, such as, for example, a glucose meter. The patient's data may include blood glucose concentration measurements. The diabetes management system or process may be installed on, but is not limited to, a personal computer, an insulin pen, an insulin pump, or a glucose meter. The diabetes management system or process may identify a plurality of pattern types from the data including a testing/dosing pattern, a hypoglycemic pattern, a hyperglycemic pattern, a variability pattern, and a comparative pattern.

Abstract: A diabetes management system or process is provided herein that may be used to analyze and recognize patterns for a large amount of blood glucose concentration measurements and other physiological parameters related to the glycemia of a patient. In particular, a communication medium is provided. The communication medium includes first, second, third, fourth and fifth display areas. The second through fifth display areas can be disposed in the first display area. The second display area has identification information of a patient. The third display area has a plurality of textual messages indicative of glycemic status of the patient. The fourth display area includes a chart indicative of a variability of the glucose concentration of the patient over a predetermined time period. Other messages can also be provided to ensure compliance of any prescribed diabetes regiments or to guide the patient in managing the patient's diabetes.

Abstract: The compounds of the invention are symmetrical dimers of enkephalin polypeptides comprising enkephalin polypeptide monomers linked at the C-termini thereof with a difunctional amino bridging group. The compounds are useful as investigative tools for probing the opiate receptor membranes, particularly as radiolabelled ligands for exploring the delta opiate receptor, and also have particular use as narcotic and/or analgesic agents.