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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.

6413 Total Publications

Year	Title	Author	Journal
2020	Alzheimer's disease biomarkers as predictors of trajectories of depression and apathy in cognitively normal individuals, mild cognitive impairment, and Alzheimer's disease dementia	Banning, LCP, Ramakers, I, Rosenberg, PB, Lyketsos, CG and Leoutsakos, JS	Journal Int J Geriatr Psychiatry;
2020	Cerebrospinal fluid progranulin is associated with increased cortical thickness in early stages of Alzheimer's disease	Batzu, L, Westman, E, Pereira, JB and Alzheimers Dis Neuroimaging, I	Journal Neurobiology of Aging;
2020	Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer's Disease Neuroimaging (ADNI) database	Beltrán, JF, Wahba, BM, Hose, N, Shasha, D and Kline, RP	Journal PLoS One;
2020	Stage-specific links between plasma neurofilament light and imaging biomarkers of Alzheimer’s disease	Benedet, AL, Leuzy, A, Pascoal, TA, Ashton, NJ, Mathotaarachchi, S, Savard, M, Therriault, J, Kang, MS, Chamoun, M and Schöll, M	Journal Brain;
2020	Serum triglycerides in Alzheimer disease: Relation to neuroimaging and CSF biomarkers	Bernath, MM, Bhattacharyya, S, Nho, K, Barupal, DK, Fiehn, O, Baillie, R, Risacher, SL, Arnold, M, Jacobson, T, Trojanowski, JQ, Shaw, LM, Weiner, MW, Doraiswamy, PM, Kaddurah-Daouk, R, Saykin, AJ, Alzheimer's Dis, N and Alzheimer's Dis, M	Journal Neurology;
2020	Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest	Bi, XA, Hu, X, Wu, H and Wang, Y	Journal IEEE J Biomed Health Inform;
2020	The meta-memory ratio: a new cohort-independent way to measure cognitive awareness in asymptomatic individuals at risk for Alzheimer's disease	Gagliardi, G, Houot, M, Cacciamani, F, Habert, MO, Dubois, B and Epelbaum, S	Journal Alzheimers Res Ther;
2020	Robust parametric modeling of Alzheimer's disease progression	Ghazi, M.M., Nielsen, M, Pai, A, Modat, M, Jorge Cardoso, M, Ourselin, S and Sørensen, L	Journal Neuroimage;
2020	Using Machine Learning to Predict Dementia from Neuropsychiatric Symptom and Neuroimaging Data	Gill, S, Mouches, P, Hu, S, Rajashekar, D, MacMaster, FP, Smith, EE, Forkert, ND, Ismail, Z and Alzheimers Dis Neuroimaging, I	Journal Journal of Alzheimers Disease;
2020	Serum Vitamin B12, and Related MTRR and Cubilin Genotypes, Predict Neural Outcomes across the AD Spectrum	McLiman, K, Collazo Martinez, A, Mochel, JP, Allenspach, KD and Willette, AA	Journal The British Journal of Nutrition;

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