Search for dissertations about: "personalized"
Showing result 1 - 5 of 230 swedish dissertations containing the word personalized.
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1. Data-driven personalized healthcare : Towards personalized interventions via reinforcement learning for Mobile Health
Abstract : Medical and technological advancement in the last century has led to the unprecedented increase of the populace's quality of life and lifespan. As a result, an ever-increasing number of people live with chronic health conditions that require long-term treatment, resulting in increased healthcare costs and managerial burden to the healthcare provider. READ MORE
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2. Towards Personalized Cancer Therapy : New Diagnostic Biomarkers and Radiosensitization Strategies
Abstract : This thesis focuses on the evaluation of biomarkers for radio-immunodiagnostics and radio-immunotherapy and on radiosensitization strategies after HSP90 inhibition, as a step towards more personalized cancer medicine. There is a need to develop new tracers that target cancer-specific biomarkers to improve diagnostic imaging, as well as to combine treatment strategies to potentiate synergistic effects. READ MORE
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3. Molecular serum portraits - A step towards personalized medicine
Abstract : Antibody microarray technology has the potential for playing a large roll in identifying serological biomarker panels for personalized medicine. The aim of this thesis, based on four original papers, was to investigate if information in the serum proteome could be extracted and used for diagnostic, classificational, prognostic or treatment predictive purposes in a range of diseases. READ MORE
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4. Integrating multi-omics for type 2 diabetes : Data science and big data towards personalized medicine
Abstract : Type 2 diabetes (T2D) is a complex metabolic disease characterized by multi-tissue insulin resistance and failure of the pancreatic β-cells to secrete sufficient amounts of insulin. Cells recruit transcription factors (TF) to specific genomic loci to regulate gene expression that consequently affects the protein and metabolite abundancies. READ MORE
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5. Machine learning and big data for personalized epilepsy treatment
Abstract : Finding an effective anti-seizure medication (ASM) with minimal side effects is a challenge. Patient characteristics are used to guide treatment selection, but about half of the patients with epilepsy do not achieve seizure freedom with their first ASM. READ MORE