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including modelling to determine the localization, distribution, and potential on/off-target effects of ONs in vivo. The final aim is to gain know-how on how to optimize formulations for different
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. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material
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