This repository contains the source code produced within the Innosuisse Flagship SPEARHEAD, supporting the deliverables:
- D2.4 – Digital platform live (web-based interface for interactive exploration of resistance prediction models)
- D2.6 – Main publication of the risk prediction model (analysis pipeline and experiments for the manuscript)
The SPEARHEAD-webapp/ directory contains the code and assets for the web-based interface used to interactively explore the trained resistance prediction models.
Web interface:
https://christian-berchtold-spearhead.share.connect.posit.cloud/
The SPEARHEAD-manuscript/ directory contains the analysis code (scripts and supporting utilities) used to conduct the analyses reported in the manuscript on EHR-based antibiotic resistance prediction (planned for submission to The Lancet Microbe at the end of March 2026). The manuscript figures are also included in this directory.