MEMOL: Mixture of experts for multimodal learning through multi-head attention to predict drug toxicity.

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Title: MEMOL: Mixture of experts for multimodal learning through multi-head attention to predict drug toxicity.
Authors: Chu, Jae-Woo1, Park, Jong-Hoon1, Cho, Young-Rae1,2, youngcho@yonsei.ac.kr
Source: Computer Methods & Programs in Biomedicine; Jan2026, Vol. 273, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189184246
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189184246
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.cmpb.2025.109088
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: MEMOL: Mixture of experts for multimodal learning through multi-head attention to predict drug toxicity.
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            NameFull: Chu, Jae-Woo
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            NameFull: Park, Jong-Hoon
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            NameFull: Cho, Young-Rae
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            – D: 01
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              Text: Jan2026
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              Y: 2026
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              Value: 273
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