Sökning: "strategy drug time"

Visar resultat 1 - 5 av 18 uppsatser innehållade orden strategy drug time.

  1. 1. Analyzing the performance of active learning strategies on machine learning problems

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Vendela Werner; [2023]
    Nyckelord :computer science; bioinformatics; machine learning; active learning; artificial intelligence; supervised learning; Astrazeneca; maskininlärning; artificiell intelligens; datorvetenskap; active learning; bioinformatik; supervised learning;

    Sammanfattning : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. LÄS MER

  3. 2. Barriärer som påverkar följsamhet till läkemedelsbehandling hos patienter efter hjärtinfarkt : en litteraturstudie

    Magister-uppsats, Sophiahemmet Högskola

    Författare :Annika Solito; Karin Eggen; [2022]
    Nyckelord :Barriers; Drug treatment; Medication adherence; Myocardial infarction; Barriärer; Följsamhet till läkemedelsbehandling; Hjärtinfarkt; Läkemedelsbehandling;

    Sammanfattning : Bakgrund: Bristande följsamhet till läkemedelsbehandling både på lång och kort sikt är ett problem i behandlingen av patienter som genomgått hjärtinfarkt. Den farmakologiska behandlingen utgör dock en central del i den sekundärpreventiva vården efter hjärtinfarkt med påverkan på både livskvalitet och överlevnad. LÄS MER

  4. 3. Automatic Development of Pharmacokinetic Structural Models

    Master-uppsats, Uppsala universitet/Institutionen för farmaci

    Författare :Alzahra Hamdan; [2022]
    Nyckelord :pharmacometrics; non-linear mixed effects; modelling; pharmacokinetics; NONMEM; automation; exhaustive algorithm; stepwise algorithm; structural models; inter-individual variability; residual error models; model selection;

    Sammanfattning : Introduction: The current development strategy of population pharmacokinetic models is a complex and iterative process that is manually performed by modellers. Such a strategy is time-demanding, subjective, and dependent on the modellers’ experience. LÄS MER

  5. 4. Design and analysis of pre-clinical experiments using a method combining multiple comparisons and modeling techniques for dose-response studies

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Avijit Singh; [2021-04-20]
    Nyckelord :pharmacodynamic modeling; dose–response relationship; significance level; multiple comparison procedure; optimal design; MCPMod; dose finding study;

    Sammanfattning : Abstract. Identifying and estimating the dose-response relationship between a compound and a pharmacological endpoint of interest is one of the most important and difficult goals in the preclinical stage of pharmaceutical drug development. LÄS MER

  7. 5. Privacy Preserving Survival Prediction With Graph Neural Networks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Stefano Fedeli; [2021]
    Nyckelord :Graph Neural Network; Survival Analysis; Differential Privacy; Clinical Data; Registries; Population Study;

    Sammanfattning : In the development process of novel cancer drugs, one important aspect is to identify patient populations with a high risk of early death so that resources can be focused on patients with the highest medical unmet need. Many cancer types are heterogeneous and there is a need to identify patients with aggressive diseases, meaning a high risk of early death, compared to patients with indolent diseases, meaning a low risk of early death. LÄS MER