medRxiv preprint doi: https://doi.org/10.1101/2020.08.11.20171447; this version posted November 20, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson's Disease Daphna Laifenfeld, PhD1,a,†, Chen Yanover, PhD2,b,†, Michal Ozery-Flato, PhD3,†, Oded Shaham, PhD2,c, Michal Rozen-Zvi, PhD3,4,*, Nirit Lev, MD/PhD1,d,‡ , Yaara Goldschmidt, PhD2,e,‡, Iris Grossman, PhD1,f,‡ 1Formerly Teva Pharmaceuticals Research & Development, Petach Tikva, Israel; 2Formerly IBM Research – Haifa, Israel; 3IBM Research – Haifa, Israel; 4Faculty of Medicine, The HeBrew University, Jerusalem, Israel; aPresent Address: Ibex Medical Analytics, Tel Aviv, Israel; bPresent Address: KI Research Institute, Kfar Malal, Israel; cPresent Address: MeMed Dx, Haifa, Israel; dPresent Address: Meir Medical Center and Sackler Faculty of Medicine Tel Aviv University, Tel Aviv, Israel; ePresent Address: K Health, Tel Aviv, Israel; fPresent Address: Gross Advantage, Brookline, MA, USA; † These authors contriButed equally and share first authorship. ‡ These authors contriButed equally to this work. * Corresponding author: Michal Rosen-Zvi
[email protected] Haifa University Campus, Mount Carmel Haifa, 3498825, Israel Tel: (972) 04-8296517 Keywords: Real World Data; Clinical Evidence; Parkinson’s disease; Artificial Intelligence; Causal Inference; Rasagiline; Zolpidem; Disease Modifying Therapeutics; Repurposing. NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.