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A Combined Approach to Predict Tobacco-Induced Facial Aging Using Dermatologist Knowledge Elicitation and Generative Models.

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Title: A Combined Approach to Predict Tobacco-Induced Facial Aging Using Dermatologist Knowledge Elicitation and Generative Models.
Authors: Raynaud, Edouard1,2 (AUTHOR), Bertrand, Laudine3 (AUTHOR), Flament, Frederic3 (AUTHOR), Despois, Julien3 (AUTHOR), Ba, Sileye3 (AUTHOR), Tancrède-Bohin, Emmanuelle2,4 (AUTHOR), Li, Tao3 (AUTHOR), Jouni, Hussein3 (AUTHOR) hussein.jouni@loreal.com
Source: Dermatology & Therapy. Jan2026, Vol. 16 Issue 1, p629-636. 8p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 192254637
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A Combined Approach to Predict Tobacco-Induced Facial Aging Using Dermatologist Knowledge Elicitation and Generative Models.
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  Data: <searchLink fieldCode="JN" term="%22Dermatology+%26+Therapy%22">Dermatology & Therapy</searchLink>. Jan2026, Vol. 16 Issue 1, p629-636. 8p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192254637
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        Value: 10.1007/s13555-025-01570-4
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 629
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      – TitleFull: A Combined Approach to Predict Tobacco-Induced Facial Aging Using Dermatologist Knowledge Elicitation and Generative Models.
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            NameFull: Raynaud, Edouard
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            NameFull: Bertrand, Laudine
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            NameFull: Despois, Julien
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            NameFull: Ba, Sileye
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            NameFull: Tancrède-Bohin, Emmanuelle
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              Text: Jan2026
              Type: published
              Y: 2026
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            – TitleFull: Dermatology & Therapy
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