Dementia etiology classification using NULISA plasma biomarkers and machine learning
Systematic review: The authors reviewed the literature using traditional sources (e.g. PubMed), meeting abstracts and presentations. NULISA technology has been utilized to analyze blood biomarkers in people with neurological diseases and differential protein expression based on clinical diagnosis and presumed etiologies has been observed. These citations are appropriately cited.Interpretation: Our findings indicate that machine learning can be used in combination with NULISA technology to improve etiology prediction in people with dementia.Future directions: Future studies using larger, more well-balanced participant cohorts will enable better understanding of the plasma biomarkers and demographic factors that best discriminate between dementia etiologies.
Authors
- Bruno Giordani (ORCID: https://orcid.org/0000-0001-5921-3455)
- Amanda Cook Maher (ORCID: https://orcid.org/0000-0001-6229-4743)
- Kelly N DuBois (ORCID: https://orcid.org/0000-0002-1349-1983)
- Benjamin M. Hampstead (ORCID: https://orcid.org/0000-0003-2717-6375)
- Judith L. Heidebrink (ORCID: https://orcid.org/0000-0003-0319-9257)
- Nicholas M. Kanaan (ORCID: https://orcid.org/0000-0002-4362-2593)
- David Morgan (ORCID: https://orcid.org/0000-0003-1224-7476)
- Kelly M. Bakulski (ORCID: https://orcid.org/0000-0002-9605-6337)
- Subhamoy Pal (ORCID: https://orcid.org/0000-0003-0133-8444)
- Carol Persad
Institutions
- University of Michigan (US)
- VA Ann Arbor Healthcare System (US)
- Michigan Medicine (US)
- Michigan State University (US)
Publication Details
- Journal
- medRxiv
- Published
- 2025-12-04
- DOI
- https://doi.org/10.64898/2025.12.02.25340706
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute on Aging