The dawn of robust individualised risk models for dementia

Affiliations

¹ The Australian e-Health Research Centre, CSIRO Health & Biosecurity, Parkville, VIC 3052, Australia; Centre of Excellence for Alzheimer's Disease Research & Care, School of Medical Sciences, Edith Cowan University, Joondalup, WA, Australia. Electronic address: samantha.burnham@csiro.au.
² Neuropsychiatry Unit, NorthWestern Mental Health, Royal Melbourne Hospital, Parkville, VIC, Australia; Department of Psychiatry, The University of Melbourne, Parkville, VIC, Australia.
³ The Australian e-Health Research Centre, CSIRO, Herston, QLD, Australia.
⁴ Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia; ARC Training Centre in Cognitive Computing for Medical Technologies, The University of Melbourne, Parkville, VIC, Australia.
⁵ The Australian e-Health Research Centre, CSIRO Health & Biosecurity, Parkville, VIC 3052, Australia; Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, VIC, Australia.
⁶ Department of Medicine, The University of Melbourne, Parkville, VIC, Australia; Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, VIC, Australia.
⁷ Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.

Comment

Samantha C Burnham et al. Lancet Neurol. 2019 Nov.

. 2019 Nov;18(11):985-987.

doi: 10.1016/S1474-4422(19)30353-9. Epub 2019 Sep 13.

¹ The Australian e-Health Research Centre, CSIRO Health & Biosecurity, Parkville, VIC 3052, Australia; Centre of Excellence for Alzheimer's Disease Research & Care, School of Medical Sciences, Edith Cowan University, Joondalup, WA, Australia. Electronic address: samantha.burnham@csiro.au.
² Neuropsychiatry Unit, NorthWestern Mental Health, Royal Melbourne Hospital, Parkville, VIC, Australia; Department of Psychiatry, The University of Melbourne, Parkville, VIC, Australia.
³ The Australian e-Health Research Centre, CSIRO, Herston, QLD, Australia.
⁴ Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia; ARC Training Centre in Cognitive Computing for Medical Technologies, The University of Melbourne, Parkville, VIC, Australia.
⁵ The Australian e-Health Research Centre, CSIRO Health & Biosecurity, Parkville, VIC 3052, Australia; Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, VIC, Australia.
⁶ Department of Medicine, The University of Melbourne, Parkville, VIC, Australia; Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, VIC, Australia.
⁷ Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.

No abstract available

Comment on

Biomarker-based prognosis for people with mild cognitive impairment (ABIDE): a modelling study.
van Maurik IS, Vos SJ, Bos I, Bouwman FH, Teunissen CE, Scheltens P, Barkhof F, Frolich L, Kornhuber J, Wiltfang J, Maier W, Peters O, Rüther E, Nobili F, Frisoni GB, Spiru L, Freund-Levi Y, Wallin AK, Hampel H, Soininen H, Tsolaki M, Verhey F, Kłoszewska I, Mecocci P, Vellas B, Lovestone S, Galluzzi S, Herukka SK, Santana I, Baldeiras I, de Mendonça A, Silva D, Chetelat G, Egret S, Palmqvist S, Hansson O, Visser PJ, Berkhof J, van der Flier WM; Alzheimer's Disease Neuroimaging Initiative. van Maurik IS, et al. Lancet Neurol. 2019 Nov;18(11):1034-1044. doi: 10.1016/S1474-4422(19)30283-2. Epub 2019 Sep 13. Lancet Neurol. 2019. PMID: 31526625