CC BY-NC-ND 4.0 · Yearb Med Inform 2019; 28(01): 236-238
DOI: 10.1055/s-0039-1677931
Section 12: Cancer Informatics
Georg Thieme Verlag KG Stuttgart

Cancer Informatics in 2018: The Mysteries of the Cancer Genome Continue to Unravel, Deep Learning Approaches the Clinic, and Passive Data Collection Demonstrates Utility

Jeremy L. Warner
1  Associate Professor, Departments of Medicine and Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
Debra Patt
2  Vice President, Texas Oncology, Austin, TX, USA
Section Editors for the IMIA Yearbook Section on Cancer Informatics› Author Affiliations
Further Information

Publication History

Publication Date:
16 August 2019 (online)



Objective: To summarize significant research contributions on cancer informatics published in 2018.

Methods: An extensive search using PubMed/Medline, Google Scholar, and manual review was conducted to identify the scientific contributions published in 2018 that address topics in cancer informatics. The selection process comprised three steps: (i) 15 candidate best papers were first selected by the two section editors, (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper, and (iii) the final selection of four best papers was conducted by the editorial board of the International Medical Informatics Association (IMIA) Yearbook.

Results: The four selected best papers present studies addressing many facets of cancer informatics, with immediate applicability in the translational and clinical domains.

Conclusion: Cancer informatics is a broad and vigorous subfield of biomedical informatics. Progress in cancer genomics, artificial intelligence, and passively collected data is especially notable in 2018.