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Advanced glioblastoma models to study tumour microenvironment and to support novel glioblastoma therapeutics

Author(s): Bernarda Majc (Author), Tamara Lah Turnšek (Supervisor), Metka Novak (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

Glioblastoma (GB) is the most common and aggressive primary tumour of the central nervous system. Despite maximal possible surgical resection of the tumours and aggressive treatment regimens with radiotherapy and chemotherapy, patient overall survival is less than 2 years, as patients eventually develop resistance to therapy, resulting in recurrent tumours. …

Quantitative imaging of cisplatin in tumour samples by laser ablation inductively coupled plasma mass spectrometry

Author(s): Stefan Marković (Author), Janez Ščančar (Supervisor), Janja Vidmar (Co-Supervisor)

Year: 2022

Type: Doctoral dissertation

Medicine relies on imaging techniques such as ultrasound, magnetic resonance, computed tomography and histopathological image analysis because they provide valuable data needed for the diagnosis and treatment of diseases and injuries. Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is often used in research and for the advanced diagnosis and …

Functional interpretation of gene expression data

Author(s): Igor Trajkovski (Author), Nada Lavrač (Supervisor)

Year: 2007

Type: Doctoral dissertation

Microarrays are at the center of a revolution in biotechnology, allowing researchers to simultaneously monitor the expression of tens of thousands of genes. The final aim of a typical microarray experiment is to find a molecular explanation for a given macroscopic observation (e.g., which pathways are affected by the loss …