Eva’s clinical prediction model study received the award “Open science as a supporting part of the research project”! Here, open science was part of the study design from day one, not added at the end:
-Preregistered analysis plan on OSF, completed before accessing the data (https://osf.io/f29xm/overview)
-Analysis code on GitHub with an explicit environment specification, so anyone can verify and rerun the pipeline (https://github.com/multinetlab-amsterdam/multiSCALE)
-Preprint on medRxiv, sharing findings ahead of peer review (https://www.medrxiv.org/content/10.64898/2026.04.28.26351937v1)
-Open-access web app with a short educational video, making the model usable and understandable for clinicians and non-specialists (https://glioma-kps-prediction.streamlit.app/)
We hope this project serves as a template for turning prediction models into tools built around end users, not just accuracy metrics. Congrats Eva!
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