Selected client projects where we brought AI into real application — at the intersection of research and clinical practice.
A tailored application that jointly imputes missing values in a high-dimensional transplant dataset — so the data becomes usable for models and analysis in the first place. Models at LMU Klinikum, data from Charité.
A purpose-built deep-metric-learning model that learns a meaningful similarity representation from clinical data — to compare cases and surface patterns that classical methods miss.
Tell us about it — we'll say honestly where we can help and where we can't.
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