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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
2013	Biomarker-based prediction of progression in MCI: Comparison of AD signature and hippocampal volume with spinal fluid amyloid-β and tau.	Dickerson, B. C., & Wolk, D. A.	Journal Frontiers in Aging Neuroscience;
2013	Dynamics of brain structure and cognitive function in the Alzheimer’s disease neuroimaging initiative.	Song, X., Mitnitski, A., Zhang, N., Chen, W., & Rockwood, K.	Journal Journal of Neurology, Neurosurgery, and Psychiatry;
2013	Amyloid-β imaging with Pittsburgh compound B and florbetapir: comparing radiotracers and quantification methods.	Landau, S. M., Breault, C., Joshi, A. D., Pontecorvo, M., Mathis, C. a, Jagust, W. J., & Mintun, M. a.	Journal Journal of Nuclear Medicine;
2013	Identifying multi-analyte CSF biomarkers for Alzheimer’s disease in a multi-cohort study.	Leung YY, Toledo J, Nefedov A, et al.	Journal Alzheimer's and Dementia;
2013	Evaluation of plasma proteomic data for Alzheimer disease state classification and for the prediction of progression from mild cognitive impairment to Alzheimer disease.	Llano, D. a, Devanarayan, V., & Simon, A. J.	Journal Alzheimer's Disease and Associated Disorders;
2013	Biomarker-based prediction of progression in MCI: Comparison of AD signature and hippocampal volume with spinal fluid amyloid-β and tau.	Dickerson, B. C., & Wolk, D. A.	Journal Frontiers in Aging Neuroscience;
2013	Teichmüller shape descriptor and its application to alzheimer’s disease study.	Zeng, W., Shi, R., Wang, Y., Yau, S. T., & Gu, X.	Journal International Journal of Computer Vision;
2013	Critical ages in the life course of the adult brain: nonlinear subcortical aging.	Fjell, A. M., Westlye, L. T., Grydeland, H., Amlien, I., Espeseth, T., Reinvang, I., … Walhovd, K. B.	Journal Neurobiology of Aging;
2013	Targeted Recruitment Using Cerebrospinal Fluid Biomarkers: Implications for Alzheimer’s Disease Therapeutic Trials	Barnes, J., Bartlett, J. W., Fox, N. C., & Schott, J. M.	Journal Journal of Alzheimer's Disease;
2013	Establishing Magnetic Resonance Images Orientation for the EADC-ADNI Manual Hippocampal Segmentation Protocol	Boccardi, M., Bocchetta, M., Apostolova, L. G., Preboske, G., Robitaille, N., Pasqualetti, P., … Frisoni, G. B.	Journal Journal of Neuroimaging;

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