SPRIND Recoding Medicine Challenge — Stage 1
Funds teams that curate a valuable health dataset and prove its worth with a working AI application.
Europe's health data is fragmented, and the people with the right AI methods rarely hold the right data. Recoding Medicine attacks that directly: each team curates at least one unique health dataset of real clinical or societal value, then shows what it is worth by building a concrete AI application on top of it.
The challenge runs three stages over 24 months. A jury picks up to 13 teams at a Pit…
Curating at least one unique health dataset of high clinical or societal relevance, and proving its value through a concrete AI application — biomarkers, diagnostics, clinical decision support or drug repurposing.
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