L Schaupp
Overview
Explore the profile of L Schaupp including associated specialties, affiliations and a list of published articles.
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Articles
19
Citations
226
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0
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Recent Articles
1.
Bodenlenz M, Ellmerer M, Schaupp L, Jacobsen L, Plank J, Brunner G, et al.
Diabetes Obes Metab
. 2015 Aug;
17(12):1166-72.
PMID: 26260082
Aims: To find an explanation for the lower potency of insulin detemir observed in humans compared with unmodified human insulin by investigating insulin detemir and human insulin concentrations directly at...
2.
Ben Mohammadi L, Klotzbuecher T, Sigloch S, Welzel K, Goeddel M, Pieber T, et al.
Biomed Microdevices
. 2015 Jul;
17(4):73.
PMID: 26141039
In this work we present a low cost, minimally invasive, and chip-based near infrared (NIR) sensor, combined with subcutaneous microdialysis, for continuous glucose monitoring (CGM). The sensor principle is based...
3.
Donsa K, Beck P, Plank J, Schaupp L, Mader J, Truskaller T, et al.
Appl Clin Inform
. 2014 Jul;
5(2):548-56.
PMID: 25024768
Background: Standardized insulin order sets for subcutaneous basal-bolus insulin therapy are recommended by clinical guidelines for the inpatient management of diabetes. The algorithm based GlucoTab system electronically assists health care...
4.
Greiner H, Schaller-Ammann R, Huber A, OConnell M, Krejci J, Porro G, et al.
Biomed Tech (Berl)
. 2013 Sep;
58 Suppl 1.
PMID: 24042873
No abstract available.
5.
Schaller S, Willmann S, Lippert J, Schaupp L, Pieber T, Schuppert A, et al.
CPT Pharmacometrics Syst Pharmacol
. 2013 Aug;
2:e65.
PMID: 23945606
Models of glucose metabolism are a valuable tool for fundamental and applied medical research in diabetes. Use cases range from pharmaceutical target selection to automatic blood glucose control. Standard compartmental...
6.
Mader J, Neubauer K, Schaupp L, Augustin T, Beck P, Spat S, et al.
Diabetes Obes Metab
. 2013 Aug;
16(2):137-46.
PMID: 23910952
Aims: To evaluate glycaemic control and usability of a workflow-integrated algorithm for basal-bolus insulin therapy in a proof-of-concept study to develop a decision support system in hospitalized patients with type...
7.
Bodenlenz M, Aigner B, Dragatin C, Liebenberger L, Zahiragic S, Hofferer C, et al.
Skin Res Technol
. 2013 Apr;
19(4):474-83.
PMID: 23581539
Background: Sampling the dermal interstitial fluid (ISF) allows the pharmacokinetics and pharmacodynamics of dermatological drugs to be studied directly at their site of action. Dermal open-flow microperfusion (dOFM) is a...
8.
Schaller R, Feichtner F, Kohler H, Bodenlenz M, Plank J, Wutte A, et al.
Biosens Bioelectron
. 2009 Jan;
24(7):2239-45.
PMID: 19135351
Intensive insulin therapy reduces mortality and morbidity in critically ill patients but imposes great demands on medical staff who must take frequent blood samples for the determination of glucose levels....
9.
Schaller H, Schaupp L, Bodenlenz M, Wilinska M, Chassin L, Wach P, et al.
Diabet Med
. 2006 Jan;
23(1):90-3.
PMID: 16409572
Aims: To evaluate an algorithm with glucose prediction capacity and continuous adaptation of patient parameters-a model predictive control (MPC) algorithm-to control blood glucose concentration during fasting conditions in patients with...
10.
Brunner G, Balent B, Ellmerer M, Schaupp L, Siebenhofer A, Jendle J, et al.
Diabetologia
. 2001 Apr;
44(3):305-8.
PMID: 11317660
Aims/hypothesis: The AERx insulin Diabetes Management system (AERx iDMS) is a liquid aerosol device that enables insulin to be administered to the peripheral parts of the lung. This study aimed...