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, such as semi-Markov models linked to disease transmission models. The framework builds on existing models but these must be adapted to account for differences in epidemiology and disease burden between
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on developing a new multi-disorder prediction approach that integrates different sources of information. You work with analytical model development, extensive simulation studies and analysis of existing large
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, particularly sialic acids, influence and suppress immune responses against peritoneal metastases; test in patient material and in vivo models whether sialic acid inhibition reactivates the immune system; analyze
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sessions with healthcare professionals and patients to develop personalized care models. Collaborating with international expert teams, including Rigshospitalet in Copenhagen. Participating in two
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statistical models to predict treatment response; optimizing individualized rTMS targeting using neuronavigation and computational modeling; designing and conducting n-of-1 trials embedded in routine clinical
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like to know more about the different phases within the PhD trajectory? You can read more about this on this page . As part of this project, you will use innovative neuronal cell models and advanced