Machine learning on longitudinal multi-modal data enables the understanding and prognosis of Alzheimer’s disease progression
Summary: Alzheimer’s disease (AD) is a complex pathophysiological disease. Allowing for heterogeneity, not only in disease manifestations but also in different progression patterns, is critical for developing effective disease models that can be used in clinical and research settings. We introduce a...
Kaydedildi:
| Asıl Yazarlar: | , , , , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2024-07-01
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| Seri Bilgileri: | iScience |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2589004224014883 |
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