Robust Multimodal Fusion for Survival Prediction in Cancer Patients
These advancements underscore RMSurv's potential as a powerful approach for survival prediction, establishing robust multimodal benefits, and setting a new benchmark for survival prediction models in pan-cancer settings.
Authors
- D R Flack
- Ghulam Rasool (ORCID: https://orcid.org/0000-0001-8551-0090)
- Aakash Tripathi (ORCID: https://orcid.org/0000-0001-7231-0487)
- Dimah Dera (ORCID: https://orcid.org/0000-0002-7168-5858)
- Asim Waqas (ORCID: https://orcid.org/0000-0002-6834-4710)
Institutions
- Rochester Institute of Technology (US)
- Moffitt Cancer Center (US)
Publication Details
- Journal
- Cancer Informatics
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1177/11769351251376192
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00