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use human centered, hybrid Artificial Intelligence (AI) methods to accelerate the discovery and development of innovative anti-cancer drugs. The universities of Leiden, Nijmegen, and Delft combined with
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these research themes for highly informative drug discovery by nuclear magnetic resonance. We believe that, eventually, magnetic resonance can provide an in-depth biophysical characterisation of drug candidates in
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to diagnose and treat. Intestinal tissue is easy to access with nanoparticles, which offers excellent opportunities for therapy and diagnosis e.g. a theranostic approach. The current proposal aims to find (I
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analyses (including GC-MS, GC-IR, LC-MS, IR, and NMR) and subsequent data interpretation for the discovery and chemical identification of potential drug production markers; Utilizing and optimizing GC-MS
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NMR) and subsequent data interpretation for the discovery and chemical identification of potential drug production markers; Utilizing and optimizing GC-MS based screening methods for monitoring novel
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project, Utrecht University, Orthros Medical, and University of Twente join forces to develop a drug delivery platform to deliver RNA therapeutics in a targeted manner for the eventual treatment of inflamed
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. a theranostic approach. The current proposal aims to find (I) relevant target receptors in diseased intestinal tissue, with special focus on macrophages and fibroblasts, (II) prepare lipid
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excellent opportunities for therapy and diagnosis e.g. a theranostic approach. The current proposal aims to find (I) relevant target receptors in diseased intestinal tissue, with special focus on macrophages
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and dimensionality reduction techniques to find hereto unknown connections/similarities between drugs samples; Applying supervised machine learning techniques to allow analysis of the entire dataset
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techniques to find hereto unknown connections/similarities between drugs samples; • Applying supervised machine learning techniques to allow analysis of the entire dataset based on chemical knowledge and