This paper is in the following e-collection/theme issue:

Data Science (337) Dementia and Cognitive Decline (634) Ontologies, Classifications, and Coding (295) Artificial Intelligence (1929) Drug Repurposing and Off-Label Use (28) Big Data Analytics for Elder Care (29) Machine Learning (1897)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46777, first published .
The Alzheimer’s Knowledge Base: A Knowledge Graph for Alzheimer Disease Research

The Alzheimer’s Knowledge Base: A Knowledge Graph for Alzheimer Disease Research

The Alzheimer’s Knowledge Base: A Knowledge Graph for Alzheimer Disease Research

Authors of this article:

Joseph D Romano1, 2, 3 Author Orcid Image ;   Van Truong1, 4, 5 Author Orcid Image ;   Rachit Kumar1, 4, 5, 6 Author Orcid Image ;   Mythreye Venkatesan7 Author Orcid Image ;   Britney E Graham7 Author Orcid Image ;   Yun Hao1, 4 Author Orcid Image ;   Nick Matsumoto7 Author Orcid Image ;   Xi Li7 Author Orcid Image ;   Zhiping Wang7 Author Orcid Image ;   Marylyn D Ritchie1, 3, 5 Author Orcid Image ;   Li Shen1, 3 Author Orcid Image ;   Jason H Moore7 Author Orcid Image
Article Authors Cited by (23) Tweetations (10) Metrics

Journals

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  3. Shao S, Henrique Ribeiro P, Ramirez C, Moore J. A review of feature selection strategies utilizing graph data structures and Knowledge Graphs. Briefings in Bioinformatics 2024;25(6) View
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  6. Matsumoto N, Choi H, Moran J, Hernandez M, Venkatesan M, Li X, Chang J, Wang P, Moore J, Robinson P. ESCARGOT: an AI agent leveraging large language models, dynamic graph of thoughts, and biomedical knowledge graphs for enhanced reasoning. Bioinformatics 2025;41(2) View
  7. Obafemi-Ajayi T, Jennings S, Zhang Y, Liu K, Peckham J, Moore J. AI as an accelerator for defining new problems that transcends boundaries. BioData Mining 2025;18(1) View
  8. Gutiérrez Cruz A, de Anda-Jáuregui G, Hernández-Lemus E. Gene Co-Expression Analysis Reveals Functional Differences Between Early- and Late-Onset Alzheimer’s Disease. Current Issues in Molecular Biology 2025;47(3):200 View
  9. Zagare A, Balaur I, Rougny A, Saraiva C, Gobin M, Monzel A, Ghosh S, Satagopam V, Schwamborn J. Deciphering shared molecular dysregulation across Parkinson’s disease variants using a multi-modal network-based data integration and analysis. npj Parkinson's Disease 2025;11(1) View
  10. Li X, Chang J, Venkatesan M, Wang Z, Moore J. Enhancing clinical outcome predictions through effective sample size evaluation in graph-based digital twin modeling. BioData Mining 2025;18(1) View
  11. Hazelett D, Wren J. Rethinking GWAS: how lessons from genetic screens and artificial intelligence could reveal biological mechanisms. Bioinformatics 2025;41(4) View
  12. Yang Y, Yu K, Gao S, Yu S, Xiong D, Qin C, Chen H, Tang J, Tang N, Zhu H. Alzheimer's disease knowledge graph enhances knowledge discovery and disease prediction. Computers in Biology and Medicine 2025;192:110285 View
  13. Cong C, Milne-Ives M, Ananthakrishnan A, Maetzler W, Meinert E. From past to future: Digital approaches to success of clinical drug trials for Parkinson's disease. Journal of Parkinson’s Disease 2025 View
  14. Raza M, Hassan S, Jamil S, Hyder N, Batool K, Walji S, Abbas M. Advancements in deep learning for early diagnosis of Alzheimer’s disease using multimodal neuroimaging: challenges and future directions. Frontiers in Neuroinformatics 2025;19 View
  15. Dobreva J, Simjanoska Misheva M, Mishev K, Trajanov D, Mishkovski I. A Unified Framework for Alzheimer’s Disease Knowledge Graphs: Architectures, Principles, and Clinical Translation. Brain Sciences 2025;15(5):523 View
  16. Arcos-Encarnación B, Cortes-Flores E, Barón-Mendoza I, Almazán J, Valle-García D, Díaz de León-Guerrero S, Hovan L, Meza-Sosa K, Camacho-Concha N, Gil J, Kuijjer M, González-Arenas A, Encarnación-Guevara S, Pedraza-Alva G, Pérez-Martínez L. KChIP3 fosters neuroinflammation and synaptic dysfunction in the 5XFAD mouse model of Alzheimer’s disease. Journal of Neuroinflammation 2025;22(1) View
  17. Ahmed L, Sharmah H. A concise review of synthetic xanthone derivatives for Alzheimer's disease. Brain Disorders 2025;19:100256 View
  18. Hamed B, Farghaly H, Omar A, Abd El-Hafeez T. Identifying key genetic variants in Alzheimer’s disease progression using Graph Convolutional Networks (GCN) and biological impact analysis. Journal of Big Data 2025;12(1) View
  19. Hernandez J, Saini A, Ghosh A, Moore J. The tree-based pipeline optimization tool: Tackling biomedical research problems with genetic programming and automated machine learning. Patterns 2025;6(7):101314 View
  20. Fang S, Yin Z, Cai Q, Li L, Zheng P, Chen L. Harnessing artificial intelligence for brain disease: advances in diagnosis, drug discovery, and closed-loop therapeutics. Frontiers in Neurology 2025;16 View
  21. Khatri U, Kim J, Kwon G. Multiscale Convolution-Attention Model for Efficient Alzheimer’s Disease and Mild Cognitive Impairment Diagnosis Approach Using sMRI. Applied Soft Computing 2025:113693 View
  22. Wang Z, Li X, Matsumoto N, Venkatesan M, Chang J, Moran J, Choi H, Li B, Meng Y, Hernandez M, Moore J. Drug repurposing for Alzheimer’s disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph. BioData Mining 2025;18(1) View

Conference Proceedings

  1. Xu R, Jiang P, Luo L, Xiao C, Cross A, Pan S, Sun J, Yang C. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare View