Multimodal attention fusion deep self-reconstruction presentation model for Alzheimer’s disease diagnosis and biomarker identification
The unknown pathogenic mechanisms of Alzheimer’s disease (AD) make treatment challenging. Neuroimaging genetics offers a method for identifying disease biomarkers for early diagnosis, but traditional approaches struggle with complex non-linear, multimodal and multi-expression data. However, traditio...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Artificial Cells, Nanomedicine, and Biotechnology |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21691401.2025.2506591 |
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