Search for dissertations about: "digital quantification"
Showing result 16 - 20 of 153 swedish dissertations containing the words digital quantification.
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16. Hepatitis B virus RNA in serum and liver tissue - quantification using digital PCR
Abstract : Hepatitis B virus (HBV) infection is a global health issue that is responsible for approximately 900,000 deaths each year, by inducing liver cirrhosis and hepatocellular carcinoma (HCC). A few markers are used to classify HBV infection and monitor treatment efficacy, including HBV DNA, surface antigen (HBsAg) and e antigen (HBeAg) in serum as well as HBV DNA and RNA in liver tissue. READ MORE
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17. Application of Uncertainty Quantification Techniques to Studies of Wall-Bounded Turbulent Flows
Abstract : Wall-bounded turbulent flows occur in many engineering applications. The quantities of interest (QoIs) of these flows can be accurately obtained through experimental measurements and scale-resolving numerical approaches, such as large eddy simulation (LES). READ MORE
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18. Nucleic acid analysis tools : Novel technologies and biomedical applications
Abstract : Nucleic acids are fundamental molecules of living organisms functioning essentially as the molecular information carriers of life. From how an organism is built to how it responds to external conditions, all of it, can be found in the form of nucleic acid sequences inside every single cell of every life form on earth. READ MORE
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19. Advancing isothermal nucleic acid amplification tests : Towards democratization of diagnostics
Abstract : Modern healthcare is the result of scientific advancement across disciplines and has enabled us to understand the rationale behind many diseases and how to treat or cure them; but still a myriad of unanswered questions remains. Especially infectious diseases play an important role in healthcare as they pose a constant threat for global health and well-being. READ MORE
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20. Reliable Uncertainty Quantification in Statistical Learning
Abstract : Mathematical models are powerful yet simplified abstractions used to study, explain, and predict the behavior of systems of interest. This thesis is concerned with their latter application as predictive models. READ MORE