Search for dissertations about: "Combination"
Showing result 1 - 5 of 6834 swedish dissertations containing the word Combination.
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1. β-lactam combinations against multidrug-resistant Enterobacterales : Exploring combination effects and resistance development
Abstract : The β-lactam antibiotics are a cornerstone in treating bacterial infections, but the increasing prevalence of antibiotic resistance worldwide threatens their effectiveness. The main driver of β-lactam resistance is the production of β-lactamases, which are bacterial enzymes that inactivate the antibiotic. READ MORE
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2. Data-driven modeling of combination therapy in oncology
Abstract : This thesis contains two manuscripts: Tumor Static Concentration Curves in Combination Therapy and Extending the Tumor Static Concentration Curve to Exposure - A Combination Therapy Example with Radiation Therapy. There is also an introductory chapter presenting some basic facts necessary to understand the appended manuscripts. READ MORE
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3. Nonlinear Mixed Effects Modeling of Combination Therapies in Oncology
Abstract : It has been shown that simultaneous administration of two or more anticancer agents can have a beneficial effect on cancer patients. This type of treatment is called combination therapy and is nowadays commonly used in the fight against cancer. READ MORE
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4. Pharmacokinetic and Pharmacodynamic Modeling of Antibiotics and Bacterial Drug Resistance
Abstract : Exposure to antibiotics is an important factor influencing the development of bacterial resistance. In an era where very few new antibiotics are being developed, a strategy for the development of optimal dosing regimen and combination treatment that reduces the rate of resistance development and overcome existing resistance is of utmost importance. READ MORE
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5. Modeling of combination therapy to support drug discovery in oncology
Abstract : Mathematical models based on ordinary differential equations, with impulses, are used to describe tumor growth after different treatment combinations, including chemicals as well as radiation. The models are calibrated, using a nonlinear mixed-effects framework, based on time series data of tumor volume from animal experiments. READ MORE