Interactive extreme-scale analytics: towards battling cancerInteractive extreme-scale analytics: towards battling cancer Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2020-11-132019enA synergetic understanding of cancer evolution and the effect of combination drug therapies on the disease is the cornerstone for developing effective personalized treatments, which can radically improve patients' well-being and their quality of (work and social) life. By extension, improving the treatment of patients indirectly enhances the quality of life for families, friends, and careers. Moreover, personalizing effective therapeutic approaches reduces treatment duration, cutting down healthcare monetary costs, which can be redirected to other health and social services. Given that three out of four U.S. families will at some point experience a family member suffering from cancer (http://natamcancer.org/NAP_Native_American_Priorities.pdf), the potential impact of improved cancer treatment is of considerable socio-economic and organizational significance.http://creativecommons.org/licenses/by/4.0/IEEE Technology and Society Magazine382 Giatrakos Nikolaos Γιατρακος Νικολαος Katzouris Nikos Deligiannakis Antonios Δεληγιαννακης Αντωνιος Artikis, Alexander Garofalakis Minos Γαροφαλακης Μινως Paliouras, Georgios Arndt Holger Grasso Raffaele Klinkenberg Ralf Ponce De Leon Miguel Tartaglia Gian Gaetano Valencia Alfonso Zissis, Dimitrios, 1983- Institute of Electrical and Electronics Engineers Data models Data analysis Cancer Interactive analytics