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Interpretable Machine Learning Identifies Key Inflammatory and Morphological Drivers of Intracranial Aneurysm Rupture Risk.

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Title: Interpretable Machine Learning Identifies Key Inflammatory and Morphological Drivers of Intracranial Aneurysm Rupture Risk.
Authors: Ntzanis, Epameinondas1 (AUTHOR), Papandrianos, Nikolaos2 (AUTHOR), Zampakis, Petros3 (AUTHOR), Panagiotopoulos, Vasilios4 (AUTHOR), Koutsojannis, Constantinos5 (AUTHOR), Kalogeropoulou, Christina1 (AUTHOR), Papageorgiou, Elpiniki I.2 (AUTHOR) elpinikipapageorgiou@uth.gr
Source: Bioengineering (Basel). Feb2026, Vol. 13 Issue 2, p226. 31p.
Database: Academic Search Ultimate
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An: 192038673
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  Data: Interpretable Machine Learning Identifies Key Inflammatory and Morphological Drivers of Intracranial Aneurysm Rupture Risk.
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  Data: <searchLink fieldCode="JN" term="%22Bioengineering+%28Basel%29%22">Bioengineering (Basel)</searchLink>. Feb2026, Vol. 13 Issue 2, p226. 31p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192038673
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/bioengineering13020226
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 31
        StartPage: 226
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      – TitleFull: Interpretable Machine Learning Identifies Key Inflammatory and Morphological Drivers of Intracranial Aneurysm Rupture Risk.
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            NameFull: Ntzanis, Epameinondas
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            NameFull: Papandrianos, Nikolaos
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            NameFull: Zampakis, Petros
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            NameFull: Panagiotopoulos, Vasilios
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            NameFull: Koutsojannis, Constantinos
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            NameFull: Kalogeropoulou, Christina
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              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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              Value: 13
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