Sökning: "Disease modeling"
Visar resultat 1 - 5 av 136 avhandlingar innehållade orden Disease modeling.
- Detta är en avhandling från Lund University, Faculty of Medicine
Sammanfattning : Parkinson’s Disease (PD) is the most prevalent neurodegenerative movement disorder. Despite investigative efforts into the pathogenesis of the disease, the aetiology and mechanism of PD remains unknown, with multiple factors and cellular pathways known to play a part. LÄS MER
2. Generating new models to study propagation and pathology of alpha-synuclein in Parkinson's disease and multiple system atrophyDetta är en avhandling från Lund University: Faculty of Medicine
Sammanfattning : Synucleinopthies are neurodegenerative diseases characterised by the formation of α-synuclein-rich intracellular inclusions in neurons and glia. Traditionally, animalmodels and immortalized cell lines have been used to investigate why and how theseinclusions form, and how they impact on cellular function. LÄS MER
- Detta är en avhandling från Lund University: Faculty of Medicine
Sammanfattning : Parkinson’s disease (PD) is the second most common neurodegenerative disorder and affects over 1% of people above the age of 65. This progressive and debilitating disease is usually thought of as a motor disease, with symptoms such as muscle rigidity, slowness of movement, and tremor at rest. LÄS MER
- Detta är en avhandling från Linköping : Linköping University Electronic Press
Sammanfattning : This thesis focuses on the spread of organisms in both ecological and epidemiological contexts. In most of the studies presented, displacement is modeled with a spatial kernel function, which is characterized by scale and shape. These are measured by the net squared displacement (or kernel variance) and kurtosis, respectively. LÄS MER
- Detta är en avhandling från KTH Royal Institute of Technology
Sammanfattning : Understanding cardiac pumping function is crucial to guiding diagnosis, predicting outcomes of interventions, and designing medical devices that interact with the cardiovascular system. Computer simulations of hemodynamics can show how the complex cardiovascular system is influenced by changes in single or multiple parameters and can be used to test clinical hypotheses. LÄS MER