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Predictive tools for designing new insulins and treatment regimens
Søren Klim
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Book/Report
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Ph.D. thesis
676
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Dive into the research topics of 'Predictive tools for designing new insulins and treatment regimens'. Together they form a unique fingerprint.
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Nursing and Health Professions
Insulin Derivative
100%
Glucose
80%
Insulin
73%
Insulin Aspart
46%
Evaluation Study
26%
Clamp
26%
Software
20%
Experiment
13%
Dose
13%
Analysis
13%
Extraction
13%
Human Insulin
13%
Measurement
6%
Absence
6%
Error
6%
Maximum Likelihood Method
6%
Parameters
6%
Time
6%
Filter
6%
Prediction
6%
Obstetric Delivery
6%
Insulin Treatment
6%
Insulin Level
6%
Secretion Rate
6%
C Peptide
6%
Computer Science
Treatment Regimen
100%
Models
100%
Integrated Model
60%
Stochastic Differential
46%
Evaluation
26%
Programs
26%
Software
13%
Availability
6%
Software Package
6%
Extended Kalman Filter
6%
Transfer Function
6%
Extended Version
6%
Individual Level
6%
Crossover
6%
Living Condition
6%
Marginal Likelihood
6%
Derived Measure
6%
Insulin Treatment
6%
Likelihood Estimation
6%
Data Preparation
6%
User
6%
Application
6%
Functions
6%
Approximation (Algorithm)
6%
Computational Complexity
6%
Targeting Phase
6%
Pharmacology, Toxicology and Pharmaceutical Science
Insulin Analog
100%
Insulin
86%
Glucose
80%
Insulin Aspart
46%
Human Insulin
13%
Clinical Trial
13%
Phase II Trials
13%
Absence
6%
C Peptide
6%
Food Science
Glucose
80%
Biochemistry, Genetics and Molecular Biology
Insulin Level
6%