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Peer-reviewedCC BY 4.0Yearbook of Medical Informatics

Cancer Informatics 2025: Bringing foundation models and multimodal cancer data to the forefront

  • Sanjay Aneja1,2,3
  • Ravi B. Parikh4,5
5 affiliations
  1. 1Yale Cancer Center New Haven CT USA
  2. 2Department of Therapeutic Radiology, Yale School of Medicine New Haven CT USA
  3. 3Department of Bioinformatics and Data Science, Yale School of Medicine New Haven CT USA
  4. 4Emory University Atlanta GA USA
  5. 5Winship Cancer Institute Atlanta GA USA
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Abstract

Objectives: To summarize significant research contributions on cancer informatics published in 2024, an extensive search using PubMed/MEDLINE was conducted to identify the scientific contributions published in 2024 that address topics in cancer informatics. The selection process was composed of three steps: 1) 15 candidate best papers were first selected by the two section editors; 2) external reviewers from internationally renowned research teams reviewed each candidate best paper; and 3) the final selection of two best papers was conducted by the editorial board of the IMIA Yearbook.

Results: The two selected best papers demonstrate advances in the clinical implementation of cancer informatics methodologies. Both studies highlight the potential for multimodal data and foundation models as well as prospective implementation of AI to influence cancer care.

Conclusions: Cancer informatics has evolved into a sophisticated discipline within bioinformatics, with increasing emphasis on multimodal artificial intelligence and foundation models that integrate diverse data types for comprehensive cancer analysis. As these innovative approaches mature, the cancer informatics field prioritizes robust prospective validation and deployment strategies to ensure these technologies deliver meaningful improvements in patient care and clinical outcomes.

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Cite

BibTeXRIS
BibTeX
@article{aneja2026cancer,
  title = {{Cancer Informatics 2025: Bringing foundation models and multimodal cancer data to the forefront}},
  author = {Sanjay Aneja and Ravi B. Parikh},
  journal = {Yearbook of Medical Informatics},
  year = {2026},
  month = nov,
  doi = {10.1055/s-0046-1816608},
  url = {https://doi.org/10.1055/s-0046-1816608},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Cancer Informatics 2025: Bringing foundation models and multimodal cancer data to the forefront
AU  - Sanjay Aneja
AU  - Ravi B. Parikh
PY  - 2026
DA  - 2026/11/03
JO  - Yearbook of Medical Informatics
DO  - 10.1055/s-0046-1816608
UR  - https://doi.org/10.1055/s-0046-1816608
AB  - Objectives: To summarize significant research contributions on cancer informatics published in 2024, an extensive search using PubMed/MEDLINE was conducted to identify the scientific contributions published in 2024 that address topics in cancer informatics. The selection process was composed of three steps: 1) 15 candidate best papers were first selected by the two section editors; 2) external reviewers from internationally renowned research teams reviewed each candidate best paper; and 3) the final selection of two best papers was conducted by the editorial board of the IMIA Yearbook.  Results: The two selected best papers demonstrate advances in the clinical implementation of cancer informatics methodologies. Both studies highlight the potential for multimodal data and foundation models as well as prospective implementation of AI to influence cancer care.  Conclusions: Cancer informatics has evolved into a sophisticated discipline within bioinformatics, with increasing emphasis on multimodal artificial intelligence and foundation models that integrate diverse data types for comprehensive cancer analysis. As these innovative approaches mature, the cancer informatics field prioritizes robust prospective validation and deployment strategies to ensure these technologies deliver meaningful improvements in patient care and clinical outcomes.
SN  - 0943-4747
SN  - 2364-0502
ER  -