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% Source: https://alzhub.org/research?category=digital&institution=I2801533059
% 16 entries, in the order the page lists them. Built from alzhub.org's own records.
% 0 entries have no readable author in the source record and carry no author field.

@article{borchert2023-37563912,
  author  = {Borchert, R. J. and Azevedo, T. and Badhwar, A. and Bernal, J. and Betts, M. and Bruffaerts, R. and Burkhart, M. C. and Dewachter, I. and others},
  title   = {{Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review}},
  journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
  year    = {2023},
  doi     = {10.1002/alz.13412},
  pmid    = {37563912},
  url     = {https://doi.org/10.1002/alz.13412}
}

@article{wang2020-32962744,
  author  = {Wang, X. and Huang, W. and Su, L. and Xing, Y. and Jessen, F. and Sun, Y. and Shu, N. and Han, Y.},
  title   = {{Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease}},
  journal = {Molecular neurodegeneration},
  year    = {2020},
  doi     = {10.1186/s13024-020-00395-3},
  pmid    = {32962744},
  url     = {https://doi.org/10.1186/s13024-020-00395-3}
}

@article{meyer2017-28348957,
  author  = {Meyer, S. and Mueller, K. and Stuke, K. and Bisenius, S. and Diehl-Schmid, J. and Jessen, F. and Kassubek, J. and Kornhuber, J. and others},
  title   = {{Predicting behavioral variant frontotemporal dementia with pattern classification in multi-center structural MRI data}},
  journal = {NeuroImage. Clinical},
  year    = {2017},
  doi     = {10.1016/j.nicl.2017.02.001},
  pmid    = {28348957},
  url     = {https://doi.org/10.1016/j.nicl.2017.02.001}
}

@article{young2021-34158384,
  author  = {Young, A. L. and Bocchetta, M. and Russell, L. L. and Convery, R. S. and Peakman, G. and Todd, E. and Cash, D. M. and Greaves, C. V. and others},
  title   = {{Characterizing the Clinical Features and Atrophy Patterns of MAPT-Related Frontotemporal Dementia With Disease Progression Modeling}},
  journal = {Neurology},
  year    = {2021},
  doi     = {10.1212/wnl.0000000000012410},
  pmid    = {34158384},
  url     = {https://doi.org/10.1212/wnl.0000000000012410}
}

@article{muller2019-30837580,
  author  = {Müller, S. and Herde, L. and Preische, O. and Zeller, A. and Heymann, P. and Robens, S. and Elbing, U. and Laske, C.},
  title   = {{Diagnostic value of digital clock drawing test in comparison with CERAD neuropsychological battery total score for discrimination of patients in the early course of Alzheimer's disease from healthy individuals}},
  journal = {Scientific reports},
  year    = {2019},
  doi     = {10.1038/s41598-019-40010-0},
  pmid    = {30837580},
  url     = {https://doi.org/10.1038/s41598-019-40010-0}
}

@article{berron2024-38867417,
  author  = {Berron, D. and Olsson, E. and Andersson, F. and Janelidze, S. and Tideman, P. and Düzel, E. and Palmqvist, S. and Stomrud, E. and others},
  title   = {{Remote and unsupervised digital memory assessments can reliably detect cognitive impairment in Alzheimer's disease}},
  journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
  year    = {2024},
  doi     = {10.1002/alz.13919},
  pmid    = {38867417},
  url     = {https://doi.org/10.1002/alz.13919}
}

@article{li2025-40268961,
  author  = {Li, Juan and Grimes, Kelsey F. and Saade, Joseph and Tomlinson, Julianna J. and Mestre, Tiago and Schade, Sebastian and Weber, Sandrina and Dakna, Mohammed and others},
  title   = {{Development of a simplified smell test to identify Parkinson’s disease using multiple cohorts, machine learning and item response theory}},
  journal = {npj Parkinson s Disease},
  year    = {2025},
  doi     = {10.1038/s41531-025-00904-5},
  pmid    = {40268961},
  url     = {https://doi.org/10.1038/s41531-025-00904-5}
}

@article{dyrba2013-23741425,
  author  = {Dyrba, M. and Ewers, M. and Wegrzyn, M. and Kilimann, I. and Plant, C. and Oswald, A. and Meindl, T. and Pievani, M. and others},
  title   = {{Robust automated detection of microstructural white matter degeneration in Alzheimer's disease using machine learning classification of multicenter DTI data}},
  journal = {PloS one},
  year    = {2013},
  doi     = {10.1371/journal.pone.0064925},
  pmid    = {23741425},
  url     = {https://doi.org/10.1371/journal.pone.0064925}
}

@article{muller2017-28443019,
  author  = {Müller, S. and Preische, O. and Heymann, P. and Elbing, U. and Laske, C.},
  title   = {{Increased Diagnostic Accuracy of Digital vs. Conventional Clock Drawing Test for Discrimination of Patients in the Early Course of Alzheimer's Disease from Cognitively Healthy Individuals}},
  journal = {Frontiers in aging neuroscience},
  year    = {2017},
  doi     = {10.3389/fnagi.2017.00101},
  pmid    = {28443019},
  url     = {https://doi.org/10.3389/fnagi.2017.00101}
}

@article{bertram2026-42286243,
  author  = {Bertram, David and Ophey, Anja and Röttgen, Sinah and Kufer, Konstantin and Merten, Nele and Fink, Gereon R. and Kalbe, Elke and Hansen, Clint and others},
  title   = {{ActiTect: a generalizable machine learning pipeline for REM sleep behavior disorder screening through standardized actigraphy}},
  journal = {npj Digital Medicine},
  year    = {2026},
  doi     = {10.1038/s41746-026-02738-8},
  pmid    = {42286243},
  url     = {https://doi.org/10.1038/s41746-026-02738-8}
}

@article{coles2025-40226383,
  author  = {Coles, Nathan P. and Elsheikh, Suzan and Quesnel, Agathe and Butler, Lucy and Achadu, Ojodomo J. and Islam, Meez and Kalesh, Karunakaran and Occhipinti, Annalisa and others},
  title   = {{Alpha-synuclein aggregation induces prominent cellular lipid changes as revealed by Raman spectroscopy and machine learning analysis}},
  journal = {Brain Communications},
  year    = {2025},
  doi     = {10.1093/braincomms/fcaf133},
  pmid    = {40226383},
  url     = {https://doi.org/10.1093/braincomms/fcaf133}
}

@article{dyrba2015-25644739,
  author  = {Dyrba, M. and Barkhof, F. and Fellgiebel, A. and Filippi, M. and Hausner, L. and Hauenstein, K. and Kirste, T. and Teipel, S. J. and others},
  title   = {{Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data}},
  journal = {Journal of neuroimaging : official journal of the American Society of Neuroimaging},
  year    = {2015},
  doi     = {10.1111/jon.12214},
  pmid    = {25644739},
  url     = {https://doi.org/10.1111/jon.12214}
}

@article{coles2025-39875340,
  author  = {Coles, Nathan P. and Elsheikh, Suzan and Quesnel, Agathe and Butler, Lucy and Jennings, Claire and Tarzi, Chaimaa and Achadu, Ojodomo J. and Islam, Meez and others},
  title   = {{Molecular Insights into α-Synuclein Fibrillation: A Raman Spectroscopy and Machine Learning Approach}},
  journal = {ACS Chemical Neuroscience},
  year    = {2025},
  doi     = {10.1021/acschemneuro.4c00726},
  pmid    = {39875340},
  url     = {https://doi.org/10.1021/acschemneuro.4c00726}
}

@article{coles2025-41238048,
  author  = {Coles, Nathan P. and Elsheikh, Suzan and Gouda, Alaa and Quesnel, Agathe and Butler, Lucy and Achadu, Ojodomo J. and Islam, Meez and Kalesh, Karunakaran and others},
  title   = {{A modified α-synuclein seed amplification assay in Lewy body dementia using Raman spectroscopy and machine learning analysis}},
  journal = {Journal of Neuroscience Methods},
  year    = {2025},
  doi     = {10.1016/j.jneumeth.2025.110617},
  pmid    = {41238048},
  url     = {https://doi.org/10.1016/j.jneumeth.2025.110617}
}

@article{cunha2026-beffb111,
  author  = {Cunha, C. and Garcia-Urena, M. and Martinez, R. and Romero-Lado, M. J. and Fernandez, M. V. and Andreassen, O. A. and Sims, R. and Tsolaki and others},
  title   = {{Genomics link obesity and type 2 diabetes to Alzheimers disease to unveil novel biological insights}},
  journal = {medRxiv (preprint)},
  year    = {2026},
  doi     = {10.64898/2026.02.10.26344393},
  url     = {https://doi.org/10.64898/2026.02.10.26344393}
}

@article{schroeder2026-3ea6500a,
  author  = {Schroeder, J. and Ciora, O.-A. and Heesen, P. and Bendszus, M. and Levin, J. and Perneczky, R. and Bally, L. and Feuerriegel and others},
  title   = {{Glucagon-like peptide-1 receptor agonist initiation and risk of clinically recorded Alzheimer's disease-type dementia in older adults with type 2 diabetes: a target trial emulation using causal machine learning}},
  journal = {medRxiv (preprint)},
  year    = {2026},
  doi     = {10.64898/2026.08.21.26361012},
  url     = {https://doi.org/10.64898/2026.08.21.26361012}
}