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This thesis explores the interactions between cells and nanowires, to increase our understanding of how cells are affected and how they can be manipulated by these one-dimensional, semiconductor crystals (lengths 1-10 µm, diameters <100 nm). These are much smaller than most mammalian cells (10-30 µm in diameter), and it is generally held that nanowires can be interfaced with cells without adverse
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Artificial neural networks is one of the most commonly used machine learning algorithms in medical applications. However, they are still not used in practice in the clinics partly due to their lack of explanatory capacity. We compare two case-based explanation methods to two trained physicians on analysis of electrocardiogram (ECG) data from patients with a suspected acute coronary syndrome (ACS).