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Publication AI

The ADNI publication AI is a multi-lingual system capable of answering questions in multiple languages. Its responses are primarily based on information from ADNI publications.

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*This AI can be a helpful starting point, but it’s not perfect. The information provided by this Retrieval-Augmented Generation (RAG) system may be incomplete or limited in scope due to embargo restrictions on certain publications. These embargoes prevent access to data, research, or content that has not yet been officially released to the public or approved for distribution. As a result, the system’s knowledge base may lack the most recent updates, studies, or materials related to specific topics. Please double‑check any references, facts, or details before relying on them. The creators and operators of this AI system are not liable for any consequences, decisions, or actions taken based on its output. When in doubt, it’s always best to confirm things with authoritative sources.

Publication Search

ADNI publication pdfs can be searched by year, journal, author, or keyword using the search boxes below.

6006 Total Publications

Year	Title	Author	Journal
2023	Soluble TREM2, Alzheimer_s Disease Pathology, and Risk for Progression of Cerebral Small Vessel Disease: A Longitudinal Study	Wu, C, Ma, YH, Hu, H, Zhao, B and Tan, L	Journal J Alzheimers Dis;
2023	A pairwise functional connectivity similarity measure method based on few-shot learning for early MCI detection	Zhang, X, Shams, SP, Yu, H, Wang, Z and Zhang, Q	Journal Front Neurosci;
2023	Development and validation of a 13-gene signature associated with immune function for the detection of Alzheimer_s disease	Zhu, M, Hou, T, Jia, L, Tan, Q, Qiu, C and Du, Y	Journal Neurobiol Aging;
2023	Classification of Alzheimer’s Disease Based on White Matter Connectivity Network	X. Yang; Y. Xia; Z. Li; L. Liu; Z. Fan; J. Zhou	Journal Applied Sciences;
2023	Cognitive domain harmonization and cocalibration in studies of older adults	S. Mukherjee; S. E. Choi; M. L. Lee; P. Scollard; E. H. Trittschuh; J. Mez; A. J. Saykin; L. E. Gibbons; R. E. Sanders; A. F. Zaman; M. A. Teylan; W. A. Kukull; L. L. Barnes; D. A. Bennett; A. Z. Lacroix; E. B. Larson; M. Cuccaro; S. Mercado; L. Dumitrescu; T. J. Hohman; P. K. Crane	Journal Neuropsychology;
2023	Explaining graph convolutional network predictions for clinicians-An explainable AI approach to Alzheimer's disease classification	S. Tekkesinoglu; S. Pudas	Journal Journal Article;
2023	Modeling Alzheimer's disease progression utilizing clinical trial and ADNI data to predict longitudinal trajectory of CDR‐SB	S. Jamalian; M. Dolton; P. Chanu; V. Ramakrishnan; Y. Franco; K. Wildsmith; P. Manser; E. Teng; J. Y. Jin; A. Quartino; J. C. Hsu	Journal CPT: Pharmacometrics & Systems Pharmacology;
2023	c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer's disease	S. Jemimah; A. AlShehhi; I. Alzheimer's Disease Neuroimaging	Journal BMC Med Genomics;
2023	Predicting Alzheimer's Disease with Interpretable Machine Learning	M. Jia; Y. Wu; C. Xiang; Y. Fang	Journal Dement Geriatr Cogn Disord;
2023	Hippocampus Segmentation Method Applying Coordinate Attention Mechanism and Dynamic Convolution Network	J. Jiang; H. Liu; X. Yu; J. Zhang; B. Xiong; L. Kuang	Journal Applied Sciences;

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