Abedjan, Z. (author), Boujemaa, N. (author), Campbell, S. (author), Casla, P. (author), Chatterjea, S. (author), Consoli, S. (author), Costa-Soria, C. (author), Czech, P. (author), Despenic, M. (author), Garattini, C. (author), Hamelinck, D. (author), Heinrich, A. (author), Kraaij, W. (author), Kustra, J. (author), Lojo, A. (author), Sanchez, M.M. (author), Mayer, M.A. (author), Melideo, M. (author), Menasalvas, E. (author), Aarestrup, F.M. (author), Artigot, E.N. (author), Petkovi?, M. (author), Recupero, D.R. (author), Gonzalez, A.R. (author), Kerremans, G.R. (author), Roller, R. (author), Romao, M. (author), Ruping, S. (author), Sasaki, F. (author), Spek, W. (author), Stojanovic, N. (author), Thoms, J. (author), Vasiljevs, A. (author), Verachtert, W. (author), Wuyts, R. (author) The advent of digital medical data has brought an exponential increase in information available for each patient, allowing for novel knowledge generation methods to emerge. Tapping into this data brings clinical research and clinical practice closer together, as data generated in ordinary clinical practice can be used towards rapid-learning...
bookPart 2019
