Search for dissertations about: "non-linear mixed effects models"
Showing result 6 - 10 of 18 swedish dissertations containing the words non-linear mixed effects models.
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6. Mixed Effects Modelling and Optimal Design of TNFα Response in LPS Challenge Studies - Methods and Applications in Drug Discovery
Abstract : ''Endotoxin and mycoplasma are Nature’s darkest secrets. If they are ever solved, Hell itself will open.'' - Lewis Thomas* Endotoxin, or lipopolysaccharides (LPS), are heterogeneous components from the cell wall of Gram-Negative bacteria and a common challenger in the field of drug discovery. READ MORE
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7. Nonlinear Mixed Effects Methods for Improved Estimation of Receptor Occupancy in PET Studies
Abstract : Receptor occupancy assessed by Positron Emission Tomography (PET) can provide important translational information to help bridge information from one drug to another or from animal to man. The aim of this thesis was to develop nonlinear mixed effects methods for estimation of the relationship between drug exposure and receptor occupancy for the two mGluR5 antagonists AZD9272 and AZD2066 and for the 5HT1B receptor antagonist AZD3783. READ MORE
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8. Novel Pharmacometric Methods for Design and Analysis of Disease Progression Studies
Abstract : With societies aging all around the world, the global burden of degenerative diseases is expected to increase exponentially. From the perspective drug development, degenerative diseases represent an especially challenging class. READ MORE
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9. Study Design and Dose Regimen Evaluation of Antibiotics based on Pharmacokinetic and Pharmacodynamic Modelling
Abstract : Current excessive use and abuse of antibiotics has resulted in increasing bacterial resistance to common treatment options which is threatening to deprive us of a pillar of modern medicine. In this work methods to optimize the use of existing antibiotics and to help development of new antibiotics were developed and applied. READ MORE
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10. Dynamic single-cell modelling of nutrient signalling in budding yeast
Abstract : To survive in environments with constantly changing nutrient levels the bud- ding yeast Saccharomyces cerevisiae has a sophisticated nutrient sensing system. A central component of this system is the SNF1 signalling pathway, which primarily helps yeast adapt to glucose limited conditions. READ MORE