Observed arrival · 2026-09-14
NeuroPenetrance, a live psychiatric-genomics proof of concept
NeuroPenetrance presents a gene-expression classification model for psychiatric and neurodevelopmental risk, with a live Streamlit app and an open-source Python repository.
Field notes
The visible model works from whole-blood gene-expression data and separates patient from control signals across a dataset identified as n = 192. Its live interface runs on Streamlit, with Python and scikit-learn named in the linked repository. The site distinguishes this open proof of concept from a planned second engine using proprietary iPSC-derived multi-omics data, and describes the latter as part of a production clinical platform still in development.
Observed signals
Read the marks
Editorial observations of this landing page, not a rating.
One card from the complete issue