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Identification of a Simple and Novel Cut-Point Based Cerebrospinal Fluid and MRI Signature for Predicting Alzheimer's Disease Progression that Reinforces the 2018 NIA-AA Research Framework.
J Alzheimers Dis. 2019;68(2):537-550. doi: 10.3233/JAD-180905.
J Alzheimers Dis. 2019.
PMID: 30775985
VGF in Cerebrospinal Fluid Combined With Conventional Biomarkers Enhances Prediction of Conversion From MCI to AD.
Llano DA, Devanarayan P, Devanarayan V; Alzheimer’s Disease Neuroimaging Initiative (ADNI).
Llano DA, et al. Among authors: devanarayan p.
Alzheimer Dis Assoc Disord. 2019 Oct-Dec;33(4):307-314. doi: 10.1097/WAD.0000000000000328.
Alzheimer Dis Assoc Disord. 2019.
PMID: 31305322
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Hearing Loss in Alzheimer's Disease Is Associated with Altered Serum Lipidomic Biomarker Profiles.
Llano DA, Issa LK, Devanarayan P, Devanarayan V, Alzheimer's Disease Neuroimaging Initiative Adni.
Llano DA, et al. Among authors: devanarayan p.
Cells. 2020 Nov 28;9(12):2556. doi: 10.3390/cells9122556.
Cells. 2020.
PMID: 33260532
Free PMC article.
Clinical Trial.
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CSF peptides from VGF and other markers enhance prediction of MCI to AD progression using the ATN framework.
Llano DA, Devanarayan P, Devanarayan V; Alzheimer's Disease Neuroimaging Initiative (ADNI).
Llano DA, et al. Among authors: devanarayan p.
Neurobiol Aging. 2023 Jan;121:15-27. doi: 10.1016/j.neurobiolaging.2022.07.015. Epub 2022 Oct 1.
Neurobiol Aging. 2023.
PMID: 36368195
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