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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 1 to 6 of 6 (0.031 seconds)Spelling suggestions: "subject:"farmakodynamik"" "subject:"pharmakodynamik""
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Pharmacodynamics of enzyme induction and its consequences for substrate elimination /Magnusson, Mats O., January 2007 (has links)
Diss. (sammanfattning) Uppsala : Univ., 2007. / Härtill 4 uppsatser.
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Covariate model building in nonlinear mixed effects models /Ribbing, Jakob, January 2007 (has links)
Diss. (sammanfattning) Uppsala : Uppsala universitet, 2007. / Härtill 4 uppsatser.
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Integrated Modeling of Glucose and Insulin Regulation Following Provocation Experiments /Silber, Hanna, January 2009 (has links)
Diss. (sammanfattning) Uppsala : Uppsala universitet, 2009. / Härtill 6 uppsatser.
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Methodological studies on models and methods for mixed-effects categorical data analysis /Kjellsson, Maria C., January 2008 (has links)
Diss. (sammanfattning) Uppsala : Uppsala universitet, 2008. / Härtill 5 uppsatser.
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Linking Systems Models of Pharmacology with Behavioural Models of Adherence : A Feasibility Study / Länkande av farmakologiska modeller med beteendemodeller för medicinsk åtlydnad : En undersökning av genomförbarhetJenner, Simon, Amphan, Dennis January 2020 (has links)
Pharmacokinetic (PK)- and pharmacodynamic (PD) modeling are useful tools whenassessing treatment effect. A patient’s adherence can potentially be rate-limiting, since it isthe first process in a chain of processes that determines treatment effect. Therefore agreater system taking into consideration PKPD as well as adherence models couldpotentially unlock a greater system understanding. This study focuses on investigating thefeasibility of combining models concerning adherence, PK and PD. An extensive mapping of previously made work on the topics of PKPD model developmentand adherence models concerning type 2 diabetes was conducted. Results concluded thatthere are gaps in research regarding adequate adherence-scoring methods that easily can belinked to dosing regimens. Furthermore, there is lacking research regarding feedback fromexposure-response to adherence. A simple model was implemented to provide a proposedlinkage inhowthe connection could be made between adherence and a PKPD-model.Sensitivity analysis showed that the adherence scoring used (Summary of DiabetesSelf-Care Activities measure, SDSCA) had a moderate correlation to the final response onfasting plasma glucose (Spearman ρ=−0.478∗∗∗). This result suggests that adherenceshould be considered as a relatively important factor to weave in to systems models ofpharmacology and future research should be made on further developing modelsimplementing both social factors, such as adherence, as well as pharmacologic response. Apossible way could be linking dose regimen to adherence scoring. / Farmakokinetiska (PK)- och farmakodynamiska (PD) modeller är användbara verktyg vid utvärdering av effekten av en behandlingsplan. Patientens åtlydnad tilll läkemedelsordinationen kan potentiellt vara en begränsande faktor för behandlingsprocessen. Att utveckla större system som täcker farmakologiska- samt åtlydnadsmodeller skulle potentiellt kunna vara en väg till en förhöjd förståelse angående farmakologiska system. Denna studie fokuserar på att undersöka genomförbarheten av att koppla samman modeller angående farmakokinetik, farmakodynamik samt åtlydnadsmodeller. En omfattande kartläggning av tidigare utfört arbete angående utvecklingen av PKPD-modeller och åtlydnadsmodeller som utgick fr ̊an typ 2 diabetes utfördes. Resultatet av studien visade en avsaknad av forskning gällande definieringen och kvantifieringen avhur man mäter åtlydnad för simuleringssyften. Ytterligare saknades det forskning rörande system med återkoppling från farmakologiska segment av ett system tillbaka till åtlydnadsdelarna. En enkel modell implementerades som ett förslag till hur en potentiell sammankoppling skulle kunna utföras. En känslighetsanalys utfördes och visade att poängskattningen för åtlydnad, SDSCA (Summary of Diabetes Self-Care Activities), hade en måttlig korrelation (Spearman ρ=−0.478∗∗∗) till den slutgiltiga koncentrationen av glukos i plasma. Detta resultat innebär att åtlydnad har en koppling till förbättrandet av hyperglykemi och bör därför inte exkluderas vid framtida utveckling av modeller för farmakologi. En länk skulle kunna vara kopplingen mellan ”åtlydnads-poäng” och doseringsregim.
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Quantification of Pharmaceuticals at the sub-cellular level using the NanoSIMSDost, Maryam January 2024 (has links)
Mass spectroscopy imaging (MSI) has become a vital tool in modern research due to its ability to visualize the spatial distribution of molecules within tissue samples. The collaboration between researchers at AZ, the University of Gothenburg, and Chalmers University of Technology using the NanoSIMS instrument and MSI-SIMS technology has opened up new avenues of exploration in pharmaceutical development, particularly in examining drugs and metabolites at sub-cellular levels. This groundbreaking research has the potential to significantly improve the efficacy and safety of future pharmaceutical products. NanoSIMS possesses a unique imaging and processing technique that enables high-resolution imaging of cellular structures and subcellular compartments. This powerful tool allows for the visualization and measurement of elements and isotopes at the subcellular level. The technique involves bombarding a sample with a focused primary ion beam, which causes the emission of secondary ions. These secondary ions are then analyzed to determine the elemental and isotopic composition of the sample. NanoSIMS is particularly useful for analyzing biomolecules since traditional Mass spectrometry methods cannot provide information about how molecules behave at the cellular level. Given that many of the drugs used today have intra-cellular targets, hence understanding the drug's cellular pathways is extremely important, especially in cases where the risk for organ toxicity is high due to the high dosage of the drugs. Our data from the image analysis indicated the presence of amiodarone inside the lysosomes; however, the lack of enrichment from the 13C portion of the dual-labeled molecule made it difficult to reach a variation below the LOD. Since our LOD is relatively high when working with 13C12C, we focused on the fact that accuracy, precision, and sensitivity would be the most crucial factors in our study. After adjusting these parameters, we obtained an image that made the measurement possible. This project aims to utilize a dual-labeled drug (13C and 127I) to bridge the absolute quantification ability of the 13C labeling scheme to the more sensitive labeling scheme. The focus of this study lies therefore on optimization and the relationship between Spatial resolution, Sensitivity, Mass Resolution, Accuracy, and Precision. This technique is extremely promising, but the limit of detection is relatively high mainly due to the high percentage of carbon in the sample. Despite this fact, we were able to present some valuable data. Our analysis showed that the sensitivity of the 127I is much better than 13C, however, we produced an image where the ratio between the labels was above the detection limit. Using this data, a Relative sensitivity factor (RSF) value was measured, and the concentration of the drug could be estimated by applying the quantification equation.
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