Search for dissertations about: "optimizing drug development"
Showing result 1 - 5 of 20 swedish dissertations containing the words optimizing drug development.
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1. Practical Optimal Experimental Design in Drug Development and Drug Treatment using Nonlinear Mixed Effects Models
Abstract : The cost of releasing a new drug on the market has increased rapidly in the last decade. The reasons for this increase vary with the drug, but the need to make correct decisions earlier in the drug development process and to maximize the information gained throughout the process is evident. READ MORE
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2. Novel Pharmacometric Methods for Informed Tuberculosis Drug Development
Abstract : With approximately nine million new cases and the attributable cause of death of an estimated two millions people every year there is an urgent need for new and effective drugs and treatment regimens targeting tuberculosis. The tuberculosis drug development pathway is however not ideal, containing non-predictive model systems and unanswered questions that may increase the risk of failure during late-phase drug development. READ MORE
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3. Optimizing Chemotherapy in Childhood Acute Myeloid Leukemia
Abstract : Despite major advances in our understanding of the biology of childhood acute myeloid leukemia (AML) and the development of new cytotoxic drugs, the prognosis of long-term survival is still only 60-65 %.In the present research, we studied the pharmacokinetics of drugs used in the induction therapy of childhood AML and performed in vitro drug sensitivity testing of leukemic cells from children with AML. READ MORE
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4. Improving Drug Discovery Decision Making using Machine Learning and Graph Theory in QSAR Modeling
Abstract : During the last decade non-linear machine-learning methods have gained popularity among QSAR modelers. The machine-learning algorithms generate highly accurate models at a cost of increased model complexity where simple interpretations, valid in the entire model domain, are rare. READ MORE
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5. Assessing the importance of rare genetic variants for drug response
Abstract : Inter-individual variability in drug response is commonly observed in pharmacological treatment, resulting in 40-70% of patients suffering from low drug efficacy or adverse drug reactions. These negative therapeutic effects significantly contribute to patient morbidity and mortality and constitute an important reason of post-market drug withdrawal. READ MORE