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arXiv1d ago
4.8

PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities

Kai Yu, Shuang Zhou, Yiran Song, Zaifu Zhan, Jie Peng, Kaixiong Zhou, Tianlong Chen, Feng Xie, Meng Wang, Huazhu Fu, Mingquan Lin, Rui Zhang

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Analysis

Viral velocity
low
Implementation gapYES
Novelty7/10
Categorypaper
Topics
multimodalhealthcareprognosisself-supervised

Opportunity Brief

Create an OSS framework for multimodal medical prognosis that handles missing modalities natively using prototype-driven learning. This fills a critical gap in clinical machine learning research.

Suggested repo: prime-med

"Cancer prognosis with missing data: A robust multimodal framework for fragmented clinical cohorts."

Estimated effort: 70h