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behavioral changes. Trip-planning tools and event-triggered automated charging behavior can be part of the solution to mitigate these challenges, and they rely on accurate predictions of the remaining possible
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applications, specifically targeting the prognosis and risk prediction of Heart Failure (HF) in patients. This research integrates AI safety, explainability, and multimodal medical data analysis to enhance
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advanced data-driven approaches and state of the art biochemical- and OMICs technologies, we strive to understand and predict the role of foods, dietary components and dietary patterns in human health. We
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the Netherlands. The ambition is that by integrating structural, geotechnical and railway dynamical aspects in a single computational tool we can predict the current and future state of our railway infrastructure