Stahlberg, Eric A; Abdel-Rahman, Mohamed; Aguilar, Boris; Asadpoure, Alireza; Beckman, Robert A; Borkon, Lynn L; Bryan, Jeffrey N; Cebulla, Colleen M; Chang, Young Hwan; Chatterjee, Ansu; Deng, Jun; Dolatshahi, Sepideh; Gevaert, Olivier; Greenspan, Emily J; Hao, Wenrui; Hernandez-Boussard, Tina; Jackson, Pamela R; Kuijjer, Marieke; Lee, Adrian; Macklin, Paul; Madhavan, Subha; McCoy, Matthew D; Mirzaei, Navid Mohammad; Razzaghi, Talayeh; Rocha, Heber L; Shahriyari, Leili; Shmulevich, Ilya; Stover, Daniel G.; Sun, Yi; Syeda-Mahmood, Tanveer; Wang, Jinhua; Wang, Qi; Zervantonakis, Ioannis (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
We are rapidly approaching a future in which cancer patient digital twins will reach their potential to predict cancer prevention, diagnosis, and treatment in individual patients. This will be realized based on advances ...