CC BY-NC-ND 4.0 · Yearb Med Inform 2023; 32(01): 111-114
DOI: 10.1055/s-0043-1768744
Section 2: Cancer Informatics
Synopsis

Cancer Informatics 2023: Data Sharing and Federating Learning Point Towards New Collaborative Opportunities

Jeremy L. Warner
1   Professor, Department of Medicine, Brown University, Providence, RI, USA
2   Director, Center for Clinical Cancer Informatics and Data Science, Legorreta Cancer Center, Brown University, Providence, RI, USA
,
Debra Patt
3   Vice President, Texas Oncology, Austin, TX, USA
,
Section Editors for the IMIA Yearbook Section on Cancer Informatics › Author Affiliations

Summary

Objective: To summarize significant research contributions on cancer informatics published in 2022.

Methods: An extensive search using PubMed/MEDLINE was conducted to identify the scientific contributions published in 2022 that address topics in cancer informatics. The selection process comprised three steps: (i) ten 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 three best papers was conducted by the editorial board of the Yearbook.

Results: The three selected best papers demonstrate advances in federated learning, drug synergy prediction, and utilization of clinical note data.

Conclusion: Cancer informatics continues to mature as a subfield of biomedical informatics. Applications of informatics methods to data sharing and federated approaches are especially notable in 2022.



Publication History

Article published online:
26 December 2023

© 2023. IMIA and Thieme. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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