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From classical machine learning to emerging foundation models: review on multimodal data integration for cancer research.

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Title: From classical machine learning to emerging foundation models: review on multimodal data integration for cancer research.
Authors: Muneer, Amgad1, Waqas, Muhammad1, Saad, Maliazurina B.1, Showkatian, Eman1, Bandyopadhyay, Rukhmini1, Xu, Hui1, Li, Wentao1, Chang, Joe Y.2, Liao, Zhongxing2, Haymaker, Cara3, Soto, Luisa Solis3, Wu, Carol C.4, Vokes, Natalie I.5, Le, Xiuning5, Byers, Lauren A.5, Gibbons, Don L.5, Heymach, John V.5, Zhang, Jianjun5, Wu, Jia1,5, jwu11@mdanderson.org
Source: Artificial Intelligence Review; Apr2026, Vol. 59 Issue 4, p1-69, 69p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192331996
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PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Apr2026, Vol. 59 Issue 4, p1-69, 69p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192331996
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              Text: Apr2026
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              Y: 2026
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