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The topic of the doctoral research is related to genetic variants that can reduce the risk of developing Alzheimer’s disease.
The doctoral dissertation focuses on the segmentation of magnetic resonance images with deep learning. The automatic segmentations were of higher quality than those produced with other methods, and more accurate than those annotated by an expert, which is important for reproducibility.
The doctoral thesis sheds light on the diverse possibilities of how nutrient-related metabolites could contribute to NAFLD pathogenesis and related clinical phenotypes.
The intravitreal pharmacokinetics of macromolecules and nanomaterials were assessed in preclinical species.
MSc Janne Koskinen studied in his thesis the fruiting of fungus and the structure of the fungus-arthropod food webs.