Foundation model-driven multimodal prognostic prediction in patients undergoing primary surgery for high-grade serous ovarian cancer

Foundation model-driven multimodal prognostic prediction in patients undergoing primary surgery for high-grade serous ovarian cancer

Abstract High-grade serous ovarian cancer (HGSOC) presents challenges in prognostic prediction. This study aimed to develop a universal foundation model-driven multimodal model (FoMu model) to assess the prognosis of HGSOC patients. We conducted a retrospective cohort study involving 712 eligible pa...

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Bibliographic Details
Main Authors: Qiu Bi, Conghui Ai, Linhao Qu, Qingyin Meng, Qinqing Wang, Jing Yang, Ao Zhou, Wenwei Shi, Ying Lei, Yunzhu Wu, Yang Liu, Haiming Li, Jinwei Qiang
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-025-00900-1
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