Abstract:
:Information technology (IT) can enhance or change many scenarios in cancer research for the better. In this paper, we introduce several examples, starting with clinical data reuse and collaboration including data sharing in research networks. Key challenges are semantic interoperability and data access (including data privacy). We deal with gathering and analyzing genomic information, where cloud computing, uncertainties and reproducibility challenge researchers. Also, new sources for additional phenotypical data are shown in patient-reported outcome and machine learning in imaging. Last, we focus on therapy assistance, introducing tools used in molecular tumor boards and techniques for computer-assisted surgery. We discuss the need for metadata to aggregate and analyze data sets reliably. We conclude with an outlook towards a learning health care system in oncology, which connects bench and bedside by employing modern IT solutions.
journal_name
Oncologyjournal_title
Oncologyauthors
Ahlbrandt J,Lablans M,Glocker K,Stahl-Toyota S,Maier-Hein K,Maier-Hein L,Ückert Fdoi
10.1159/000493638subject
Has Abstractpub_date
2020-01-01 00:00:00pages
363-369issue
6eissn
0030-2414issn
1423-0232pii
000493638journal_volume
98pub_type
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