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How Will Big Data Improve Clinical and Basic Research in Radiation Therapy? Int J Radiat Oncol Biol Phys 2016 Jul 01;95(3):895-904



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Pubmed Central ID




Scopus ID

2-s2.0-84969940603 (requires institutional sign-in at Scopus site)   22 Citations


Historically, basic scientists and clinical researchers have transduced reality into data so that they might explain or predict the world. Because data are fundamental to their craft, these investigators have been on the front lines of the Big Data deluge in recent years. Radiotherapy data are complex and longitudinal data sets are frequently collected to track both tumor and normal tissue response to therapy. As basic, translational and clinical investigators explore with increasingly greater depth the complexity of underlying disease processes and treatment outcomes, larger sample populations are required for research studies and greater quantities of data are being generated. In addition, well-curated research and trial data are being pooled in public data repositories to support large-scale analyses. Thus, the tremendous quantity of information produced in both basic and clinical research in radiation therapy can now be considered as having entered the realm of Big Data.

Author List

Rosenstein BS, Capala J, Efstathiou JA, Hammerbacher J, Kerns SL, Kong FS, Ostrer H, Prior FW, Vikram B, Wong J, Xiao Y


Sarah L. Kerns PhD Associate Professor in the Radiation Oncology department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Biomedical Research
Data Collection
Data Mining
Databases, Factual
Precision Medicine
Radiation Oncology