Applying machine learning in distributed data networks for pharmacoepidemiologic and pharmacovigilance studies: opportunities, challenges, and considerations by Wong, J, Prieto-Alhambra, D, Rijnbeek, PR, Desai, RJ, Reps, JM, Toh, S

European Health Data and Evidence Network—learnings from building out a standardized international health data network by Voss, EA, Blacketer, C, van Sandijk, S, Moinat, M, Kallfelz, M, Van Speybroeck, M, Prieto-Alhambra, D, Schuemie, MJ, Rijnbeek, PR

A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data by Khalid, S, Yang, C, Blacketer, C, Duarte-Salles, T, Fernández-Bertolín, S, Kim, C, Park, RW, Park, J, Schuemie, MJ, Sena, AG, Suchard, MA, You, SC, Rijnbeek, PR, Reps, JM

Transforming the Information System for Research in Primary Care (SIDIAP) in Catalonia to the OMOP Common Data Model and Its Use for COVID-19 Research by Raventós B, Fernández-Bertolín S, Aragón M, Voss EA, Blacketer C, Méndez-Boo L, Recalde M, Roel E, Pistillo A, Reyes C, van Sandijk S, Halvorsen L, Rijnbeek PR, Burn E, Duarte-Salles T

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Characterising the treatment of thromboembolic events after COVID-19 vaccination in 4 European countries and the US: An international network cohort study by Markus, AF, Strauss, VY, Burn, E, Li, X, Delmestri, A, Reich, C, Yin, C, Mayer, MA, Ramírez-Anguita, J-M, Marti, E, Verhamme, KMC, Rijnbeek, PR, Prieto-Alhambra, D, Jödicke, AM

Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study by Li, X, Ostropolets, A, Makadia, R, Shoaibi, A, Rao, G, Sena, AG, Martinez-Hernandez, E, Delmestri, A, Verhamme, K, Rijnbeek, PR, Duarte-Salles, T, Suchard, MA, Ryan, PB, Hripcsak, G, Prieto-Alhambra, D

Real-world treatment trajectories of adults with newly diagnosed asthma or COPD by Markus, AF, Rijnbeek, PR, Kors, JA, Burn, E, Duarte-Salles, T, Haug, M, Kim, C, Kolde, R, Lee, Y, Park, H, Park, RW, Prieto-Alhambra, D, Reyes, C, Krishnan, JA, Brusselle, GG, Verhamme, KM

Renin–angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis by Morales, DR, Conover, MM, You, SC, Pratt, N, Kostka, K, Duarte-Salles, T, Fernández-Bertolín, S, Aragón, M, DuVall, SL, Lynch, K, Falconer, T, van Bochove, K, Sung, C, Matheny, ME, Lambert, CG, Nyberg, F, Alshammari, TM, Williams, AE, Park, RW, Weaver, J, Sena, AG, Schuemie, MJ, Rijnbeek, PR, Williams, RD, Lane, JCE, Prats-Uribe, A, Zhang, L, Areia, C, Krumholz, HM, Prieto-Alhambra, D, Ryan, PB, Hripcsak, G, Suchard, MA

Risk of Arterial and Venous Thrombotic Events Among Patients with COVID-19: A Multi-National Collaboration of Regulatory Agencies from Canada, Europe, and United States by Lo Re III V, Cocoros NM, Hubbard RA, Dutcher SK, Newcomb CW, Connolly JG, Perez-Vilar S, Carbonari DM, Kempner ME, Hernández-Muñoz JJ, Petrone AB, Pishko AM, Rogers Driscoll ME, Brash JT, Burnett S, Cohet C, Dahl M, DeFor TA, Delmestri A, Djibo DA, Duarte-Salles T, Harrington LB, Kampman M, Kuntz JL, Kurz X, Mercadé-Besora N, Pawloski PA, Rijnbeek PR, Seager S, Steiner CA, Verhamme K, Wu F, Zhou Y, Burn E, Paterson JM, Prieto-Alhambra D

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Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network by Williams, RD, Markus, AF, Yang, C, Duarte-Salles, T, DuVall, SL, Falconer, T, Jonnagaddala, J, Kim, C, Rho, Y, Williams, AE, Machado, AA, An, MH, Aragón, M, Areia, C, Burn, E, Choi, YH, Drakos, I, Abrahão, MTF, Fernández-Bertolín, S, Hripcsak, G, Kaas-Hansen, BS, Kandukuri, PL, Kors, JA, Kostka, K, Liaw, S-T, Lynch, KE, Machnicki, G, Matheny, ME, Morales, D, Nyberg, F, Park, RW, Prats-Uribe, A, Pratt, N, Rao, G, Reich, CG, Rivera, M, Seinen, T, Shoaibi, A, Spotnitz, ME, Steyerberg, EW, Suchard, MA, You, SC, Zhang, L, Zhou, L, Ryan, PB, Prieto-Alhambra, D, Reps, JM, Rijnbeek, PR

Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS by Kostka K, Duarte-Salles T, Prats-Uribe A, Sena AG, Pistillo A, Khalid S, Lai LYH, Golozar A, Alshammari TM, Dawoud DM, Nyberg F, Wilcox AB, Andryc A, Williams A, Ostropolets A, Areia C, Jung CY, Harle CA, Reich CG, Blacketer C, Morales DR, Dorr DA, Burn E, Roel E, Tan EH, Minty E, DeFalco F, de Maeztu G, Lipori G, Alghoul H, Zhu H, Thomas JA, Bian J, Park J, Martínez Roldán J, Posada JD, Banda JM, Horcajada JP, Kohler J, Shah K, Natarajan K, Lynch KE, Liu L, Schilling LM, Recalde M, Spotnitz M, Gong M, Matheny ME, Valveny N, Weiskopf NG, Shah N, Alser O, Casajust P, Park RW, Schuff R, Seager S, DuVall SL, You SC, Song S, Fernández-Bertolín S, Fortin S, Magoc T, Falconer T, Subbian V, Huser V, Ahmed WUR, Carter W, Guan Y, Galvan Y, He X, Rijnbeek PR, Hripcsak G, Ryan PB, Suchard MA, Prieto-Alhambra D

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Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS by Kostka, K, Duarte-Salles, T, Prats-Uribe, A, Sena, AG, Pistillo, A, Khalid, S, Lai, LYH, Golozar, A, Alshammari, TM, Dawoud, DM, Nyberg, F, Wilcox, AB, Andryc, A, Williams, A, Ostropolets, A, Areia, C, Jung, CY, Harle, CA, Reich, CG, Blacketer, C, Morales, DR, Dorr, DA, Burn, E, Roel, E, Tan, EH, Minty, E, DeFalco, F, de Maeztu, G, Lipori, G, Alghoul, H, Zhu, H, Thomas, JA, Bian, J, Park, J, Martínez Roldán, J, Posada, JD, Banda, JM, Horcajada, JP, Kohler, J, Shah, K, Natarajan, K, Lynch, KE, Liu, L, Schilling, LM, Recalde, M, Spotnitz, M, Gong, M, Matheny, ME, Valveny, N, Weiskopf, NG, Shah, N, Alser, O, Casajust, P, Park, RW, Schuff, R, Seager, S, DuVall, SL, You, SC, Song, S, Fernández-Bertolín, S, Fortin, S, Magoc, T, Falconer, T, Subbian, V, Huser, V, Ahmed, W-U-R, Carter, W, Guan, Y, Galvan, Y, He, X, Rijnbeek, PR, Hripcsak, G, Ryan, PB, Suchard, MA, Prieto-Alhambra, D