Predicting time-to-conversion for dementia of Alzheimer's type using multi-modal deep survival analysis
Year: 2022
Type: article
Source: Neurobiology of Aging
Authors: Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, James E Galvin, Lei Wang, Mirza Faisal Beg
Institutions: Simon Fraser University, Wake Forest University Health Sciences, Wake Forest University, University of Victoria, University of Nottingham, Memorial University of Newfoundland, University of British Columbia, University of Miami, University of Miami Health System, The Ohio State University Wexner Medical Center, The Ohio State University
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
Funders: U.S. Department of Defense, Alzheimer's Association, Bristol-Myers Squibb, Eli Lilly and Company, Pfizer, Biogen, University of Southern California, F. Hoffmann-La Roche, Meso Scale Diagnostics, Alzheimer's Disease Neuroimaging Initiative, BioClinica, Novartis Pharmaceuticals Corporation, Fondation Brain Canada, Northern California Institute for Research and Education, Compute Canada, Alzheimer Society, Michael Smith Health Research BC, University of Nottingham, Eisai, Servier, H. Lundbeck A/S, IXICO, National Institutes of Health, Genentech, Wake Forest School of Medicine, Alzheimer Society Research Program, Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, Alzheimer Society of B.C., National Institute on Aging, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Center for Advancing Translational Sciences, Alzheimer's Disease Research Center, Wake Forest School of Medicine, Peer Reviewed Alzheimer’s Research Program
Awards: G1012222616, G104586243, Reducing Disparities in Dementia and VCID Outcomes in a Multicultural Rural Population, G1298807586, G1554142629, G1593117279, G1650819308, G1880935189, Alzheimer's Disease Neuroimaging Initiative, G2100670906, G2152643862, G2189010064, Digital Detection of Dementia Studies (D cubed Studies)., G2340207221, G2423387114, G2471646051, G2522063444, PREDICT-ADFTD: Multimodal Imaging Prediction of AD/FTD and Differential Diagnosis, G2835601961, G29951154, G3131374986, G3216574877, G3553156159, G3710456697, G3752451908, G3870774570, G3908963977, G3966393351, G4119534169, G43180419, G4475667458, G4501223628, G4800177743, G505421839, G5207404921, G5209990037, G528601746, G5324093878, G5365730499, EFFECTS OF TRAUMATIC BRAIN INJURY (TBI) AND POST TRAUMATIC STRESS DISORDER (PTSD) ON ALZHEIMER'S DISEASE (AD) IN VETERANS USING IMAGING AND BIOMARKERS IN THE AD NEUROIMAGING INITIATIVE (ADNI)", G5654639750, G5740349702, G5850682332, G613619302, G6173816828, G6210868510, G6371410416, G6412110892, G6447063303, G6719828067, G6792506723, G6899163935, G6934735333, G6948409098, G72415811, G7298697282, G764699806, G7799614282, G781725486, G8228018387, G8281378126, G839208290, G8852128998, G8895907669, G8897063270, G8957659042, G9000039018, G9000122335, G9000344530, Multicultural Community Dementia Screening, Alzheimer's Disease Research Center
OpenAlex ID: W4306407322