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MMsurv: a multimodal multi-instance multi-cancer survival prediction model integrating pathological images, clinical information, and sequencing data.

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Title: MMsurv: a multimodal multi-instance multi-cancer survival prediction model integrating pathological images, clinical information, and sequencing data.
Authors: Yang, Hailong1,2, Wang, Jia3, Wang, Wenyan1, Shi, Shufang2,4, Liu, Lijing5, Yao, Yuhua6, Tian, Geng2, Wang, Peizhen1, Yang, Jialiang2
Source: Briefings in Bioinformatics; May2025, Vol. 26 Issue 3, p1-14, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186587067
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: MMsurv: a multimodal multi-instance multi-cancer survival prediction model integrating pathological images, clinical information, and sequencing data.
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  Data: <searchLink fieldCode="JN" term="%22Briefings+in+Bioinformatics%22">Briefings in Bioinformatics</searchLink>; May2025, Vol. 26 Issue 3, p1-14, 14p
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        Value: 10.1093/bib/bbaf209
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      – Code: eng
        Text: English
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        PageCount: 14
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      – TitleFull: MMsurv: a multimodal multi-instance multi-cancer survival prediction model integrating pathological images, clinical information, and sequencing data.
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            NameFull: Wang, Jia
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              Text: May2025
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              Y: 2025
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            – TitleFull: Briefings in Bioinformatics
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