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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	A Deep Learning-Based Ensemble Method for Early Diagnosis of Alzheimer's Disease using MRI Images	S. Fathi; A. Ahmadi; A. Dehnad; M. Almasi-Dooghaee; M. Sadegh	Journal Neuroinformatics;
2023	Assessing the transportability of clinical prediction models for cognitive impairment using causal models	J. Fehr; M. Piccininni; T. Kurth; S. Konigorski	Journal BMC Medical Research Methodology;
2023	Tau-PET abnormality as a biomarker for Alzheimer's disease staging and early detection: a topological perspective	J. Ding; C. Shen; Z. Wang; Y. Yang; G. El Fakhri; J. Lu; D. Liang; H. Zheng; Y. Zhou; T. Sun	Journal Cereb Cortex;
2023	inMTSCCA: An Integrated Multi-task Sparse Canonical Correlation Analysis for Multi-omic Brain Imaging Genetics	L. Du; J. Zhang; Y. Zhao; M. Shang; L. Guo; J. Han	Journal Genomics, Proteomics & Bioinformatics;
2023	Can T1-Weighted Magnetic Resonance Imaging Significantly Improve Mini-Mental State Examination-Based Distinguishing Between Mild Cognitive Impairment and Early-Stage Alzheimer_s Disease?	Marcisz, A and Polanska, J	Journal J Alzheimers Dis;
2023	A Comprehensive Investigation of the Potential Role of Lipoproteins and Metabolite Profile as Biomarkers of Alzheimer_s Disease Compared to the Known CSF Biomarkers	Nasab, AS, Noorani, F, Paeizi, Z, Khani, L, Banaei, S, Sadeghi, M, Shafeghat, M, Shafie, M, Mayeli, M and Initiative Adni, T	Journal Int J Alzheimers Dis;
2023	Genome-wide association study of brain biochemical phenotypes reveals distinct genetic architecture of Alzheimer_s disease related proteins	Oatman, SR, Reddy, JS, Quicksall, Z, Carrasquillo, MM, Wang, X, Liu, CC, Yamazaki, Y, Nguyen, TT, Malphrus, K, Heckman, M, Biswas, K, Nho, K, Baker, M, Martens, YA, Zhao, N, Kim, JP, Risacher, SL, Rademakers, R, Saykin, AJ, DeTure, M, Murray, ME, Kanekiyo, T, Dickson, DW, Bu, G, Allen, M and Ertekin-Taner, N	Journal Mol Neurodegener;
2023	18F-FDG-PET Radiomics Based on White Matter Predicts The Progression of Mild Cognitive Impairment to Alzheimer Disease: A Machine Learning Study	Peng, J, Wang, W, Song, Q, Hou, J, Jin, H, Qin, X, Yuan, Z, Wei, Y and Shu, Z	Journal Academic Radiology;
2023	Metabolic syndrome biomarkers relate to rate of cognitive decline in MCI and dementia stages of Alzheimer’s disease	Pillai, JA, Bena, J, Bekris, L, Kodur, N, Kasumov, T, Leverenz, JB and Kashyap, SR	Journal Alzheimer_s Research & Therapy;
2023	Longitudinal Exposure-Response Modeling of Multiple Indicators of Alzheimer_s Disease Progression	Polhamus, DG, Dolton, MJ, Rogers, JA, Honigberg, L, Jin, JY and Quartino, A	Journal J Prev Alzheimers Dis;

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