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% Source: https://alzhub.org/research?category=digital&institution=I47251452
% 6 entries, in the order the page lists them. Built from alzhub.org's own records.
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@article{younan2020-31746986,
  author  = {Younan, D. and Petkus, A. J. and Widaman, K. F. and Wang, X. and Casanova, R. and Espeland, M. A. and Gatz, M. and Henderson, V. W. and others},
  title   = {{Particulate matter and episodic memory decline mediated by early neuroanatomic biomarkers of Alzheimer's disease}},
  journal = {Brain : a journal of neurology},
  year    = {2020},
  doi     = {10.1093/brain/awz348},
  pmid    = {31746986},
  url     = {https://doi.org/10.1093/brain/awz348}
}

@article{neumann2022-34762275,
  author  = {Neumann, J. T. and Thao, L. T. P. and Callander, E. and Chowdhury, E. and Williamson, J. D. and Nelson, M. R. and Donnan, G. and Woods, R. L. and others},
  title   = {{Cardiovascular risk prediction in healthy older people}},
  journal = {GeroScience},
  year    = {2022},
  doi     = {10.1007/s11357-021-00486-z},
  pmid    = {34762275},
  url     = {https://doi.org/10.1007/s11357-021-00486-z}
}

@article{govindarajan2025-40108173,
  author  = {Govindarajan, Sindhuja Tirumalai and Mamourian, Elizabeth and Erus, Güray and Abdulkadir, Ahmed and Melhem, Randa and Doshi, Jimit J. and Pomponio, Raymond and Tosun, Duygu and others},
  title   = {{Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals}},
  journal = {Nature Communications},
  year    = {2025},
  doi     = {10.1038/s41467-025-57867-7},
  pmid    = {40108173},
  url     = {https://doi.org/10.1038/s41467-025-57867-7}
}

@article{lee2018-29515131,
  author  = {Lee, J. S. and Kim, C. and Shin, J. H. and Cho, H. and Shin, D. S. and Kim, N. and Kim, H. J. and Kim, Y. and others},
  title   = {{Machine Learning-based Individual Assessment of Cortical Atrophy Pattern in Alzheimer's Disease Spectrum: Development of the Classifier and Longitudinal Evaluation}},
  journal = {Scientific reports},
  year    = {2018},
  doi     = {10.1038/s41598-018-22277-x},
  pmid    = {29515131},
  url     = {https://doi.org/10.1038/s41598-018-22277-x}
}

@article{kim2019-30981204,
  author  = {Kim, J. P. and Kim, J. and Park, Y. H. and Park, S. B. and Lee, J. S. and Yoo, S. and Kim, E. J. and Kim, H. J. and others},
  title   = {{Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease}},
  journal = {NeuroImage. Clinical},
  year    = {2019},
  doi     = {10.1016/j.nicl.2019.101811},
  pmid    = {30981204},
  url     = {https://doi.org/10.1016/j.nicl.2019.101811}
}

@article{murray2022-36575455,
  author  = {Murray, M. E. and Moloney, C. M. and Kouri, N. and Syrjanen, J. A. and Matchett, B. J. and Rothberg, D. M. and Tranovich, J. F. and Sirmans, T. N. H. and others},
  title   = {{Global neuropathologic severity of Alzheimer's disease and locus coeruleus vulnerability influences plasma phosphorylated tau levels}},
  journal = {Molecular neurodegeneration},
  year    = {2022},
  doi     = {10.1186/s13024-022-00578-0},
  pmid    = {36575455},
  url     = {https://doi.org/10.1186/s13024-022-00578-0}
}