An Interpretable Data-Driven Prediction Model to Anticipate Scoliosis in Spinal Muscular Atrophy in the Era of (Gene-) Therapies

Source Code of Paper titled An Interpretable Data-Driven Prediction Model to Anticipate Scoliosis in Spinal Muscular Atrophy in the Era of (Gene-) Therapies.

Complete List of Authors:

Tu-Lan Vu-Han, MD PhD*^1,2; Rodrigo Bermudez Schettino, MSc.³; Claudia Weiß, MD⁴; Prof. Carsten Perka, MD²; Prof. Tobias Winkler, MD^2,5,6; Vikram Sunkara, PhD⁷; Prof. Matthias Pumberger, MD¹

¹Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Center for Musculoskeletal Surgery, Berlin, Germany

²Berlin Institute of Health at Charité – Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, Charitéplatz 1, 10117 Berlin, Germany

³Max Planck Institute for Human Development, Center for Humans and Machines, Lentzeallee 94, 14195 Berlin

⁴Department of Pediatric Neurology, Center for Chronically Sick Children, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, Berlin, Germany

⁵Institute of Health, Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany

⁶Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Julius Wolff Institute, Berlin, Germany

⁷Explainable AI for Biology, Zuse Institute Berlin, Takustraße 7, 14195 Berlin, Germany