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Interactive extreme-scale analytics: towards battling cancer

Giatrakos Nikolaos, Katzouris Nikos, Deligiannakis Antonios, Artikis, Alexander, Garofalakis Minos, Paliouras, Georgios, Arndt Holger, Grasso Raffaele, Klinkenberg Ralf, Ponce De Leon Miguel, Tartaglia Gian Gaetano, Valencia Alfonso, Zissis, Dimitrios, 1983-

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URI: http://purl.tuc.gr/dl/dias/6AF27B22-0A86-4508-BF2E-F5C35A9D1317
Έτος 2019
Τύπος Δημοσίευση σε Περιοδικό με Κριτές
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά N. Giatrakos, N. Katzouris, A. Deligiannakis, A. Artikis, M. Garofalakis, G. Paliouras, H. Arndt, R. Grasso, R. Klinkenberg, M. Ponce De Leon, G.G. Tartaglia, A. Valencia and D. Zissis, "Interactive extreme-scale analytics: towards battling cancer," IEEE Technol. Soc. Mag., vol. 38, no. 2, Jun. 2019. doi: 10.1109/MTS.2019.2913071 https://doi.org/10.1109/MTS.2019.2913071
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Περίληψη

A 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.

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