Can your genes predict your mental health risk?

NeuroPenetrance turns gene-expression and iPSC-derived multi-omics data into an interpretable risk signal for psychiatric and neurodevelopmental disorders — grounded in validated research from the Max Delbrück Center for Molecular Medicine, Berlin.

Fulbright-fellowship research · Hammes Lab, MDC Berlin

WHOLE-BLOOD GENE EXPRESSION n = 192
Patient signal
Control signal
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See the signal for yourself

The proof-of-concept classification pipeline is open-source and live — trained and validated on a public whole-blood transcriptomics dataset. It's the analytical core that Engine 2 will extend to proprietary iPSC-derived data.

Open-source proof-of-concept · production clinical platform in development

Live appneuropenetrance.streamlit.app
Repositoryneuropenetrance_app
FrameworkStreamlit
StackPython · scikit-learn
StatusLive proof of concept
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LOCATION
Berlin, Germany

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