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Data-driven care for patients with neurodegenerative disorders

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Data-driven approaches hold considerable promise for medical breakthroughs in the precision and cost-effectiveness of the prevention, diagnosis and treatment of neurodegenerative diseases. The scientists and health care professionals who will be responsible for providing the evidence to support these approaches must also consider the ethical challenges involved in the care of people with intellectual impairments.

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References

  1. Largent, E. A. et al. Testing for Alzheimer disease biomarkers and disclosing results across the disease continuum. Neurology https://doi.org/10.1212/WNL.0000000000206891 (2023).

    Article  PubMed  Google Scholar 

  2. Ienca, M., Vayena, E. & Blasimme, A. Big data and dementia: charting the route ahead for research, ethics, and policy. Front. Med. 5, 13 (2018).

    Article  Google Scholar 

  3. Wong-Lin, K. et al. Shaping a data-driven era in dementia care pathway through computational neurology approaches. BMC Med. 18, 398 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  4. Muurling, M. et al. Remote monitoring technologies in Alzheimer’s disease: design of the RADAR-AD study. Alzheimers Res. Ther. 13, 89 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  5. Bruun, M. et al. Impact of a clinical decision support tool on dementia diagnostics in memory clinics: the PredictND validation study. Curr. Alzheimer Res. 16, 91–101 (2019).

    Article  CAS  PubMed  Google Scholar 

  6. van Maurik, I. S. et al. Biomarker-based prognosis for people with mild cognitive impairment (ABIDE): a modelling study. Lancet Neurol. 18, 1034–1044 (2019).

    Article  PubMed  Google Scholar 

  7. Livingston, G. et al. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet 396, 413–446 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Jørgensen, K., Nielsen, T. R., Nielsen, A. & Waldemar, G. Potential for prevention of dementia in Denmark. Alzheimers Dement. https://doi.org/10.1002/alz.13030 (2023).

    Article  PubMed  Google Scholar 

  9. Zheng, H., Petrella, J. R., Doraiswamy, P. M., Lin, G. & Hao, W. Data-driven causal model discovery and personalized prediction in Alzheimer’s disease. NPJ Digit. Med. 5, 137 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  10. Mattsson-Carlgren, N. et al. Prediction of longitudinal cognitive decline in preclinical Alzheimer disease using plasma biomarkers. JAMA Neurol. 80, 360–369 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

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Correspondence to Gunhild Waldemar.

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The author declares no competing interests.

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Related links

Alzheimer’s Disease Neuroimaging Initiative (ADNI): https://adni.loni.usc.edu

European Health Data Space: https://health.ec.europa.eu/ehealth-digital-health-and-care/european-health-data-space

UK Biobank: https://www.ukbiobank.ac.uk/enable-your-research

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Waldemar, G. Data-driven care for patients with neurodegenerative disorders. Nat Rev Neurol 19, 447–448 (2023). https://doi.org/10.1038/s41582-023-00828-9

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