Datathons and Software to Promote Reproducible Research

Journals

1. Lau W, Sparks R, Tsang J. Meta-analysis of crowdsourced data compendia suggests pan-disease transcriptional signatures of autoimmunity. F1000Research 2016;5:2884 View
2. Cosgriff C, Celi L, Stone D. Critical Care, Critical Data. Biomedical Engineering and Computational Biology 2019;10:117959721985656 View
3. Ishii-Rousseau J, Seino S, Ebner D, Vareth M, Po M, Celi L, Simsekler M. The “Ecosystem as a Service (EaaS)” approach to advance clinical artificial intelligence (cAI). PLOS Digital Health 2022;1(2):e0000011 View
4. Sena C, Gonçalves L, Seiça R. Methods to evaluate vascular function: a crucial approach towards predictive, preventive, and personalised medicine. EPMA Journal 2022;13(2):209 View
5. Paris N, Lamer A, Parrot A. Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study. JMIR Medical Informatics 2021;9(12):e30970 View
6. Malerbi F, Nakayama L, Gayle Dychiao R, Zago Ribeiro L, Villanueva C, Celi L, Regatieri C. Digital Education for the Deployment of Artificial Intelligence in Health Care. Journal of Medical Internet Research 2023;25:e43333 View
7. Mathur P, Arshad H, Grasfield R, Khatib R, Aggarwal A, Auron M, Khare A. Navigating AI: A Quick Start Guide for Healthcare Professionals. Cureus 2024 View