Machine learning on longitudinal multi-modal data enables the understanding and prognosis of Alzheimer’s disease progression is a research paper published in iScience (2024). On theSindex it has a DataRank of 0. It has been cited 11 times.
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U.S. Department of Defense
Grant: W81XWH-12-2-0012
National Institutes of Health
Grant: U019 AG024904
National Natural Science Foundation of China
Grant: 82272129
National Key Research and Development Program of China
Grant: 2022YFF1202400
Natural Science Foundation of Xinjiang Uygur Autonomous Region
Grant: 2022D01C434
Canadian Institutes of Health Research
Grant: unidentified
unidentified
National Institutes of Health
Grant: 1U01AG024904-01
Alzheimers Disease Neuroimaging Initiative
Yulgilbar Foundation
University of Southern California
Commonwealth Scientific and Industrial Research Organisation
National Institute of Biomedical Imaging and Bioengineering
University of Melbourne
National Institute on Aging
Science and Industry Endowment Fund
State Government of Victoria
Dementia Collaborative Research Centres, Australia
Northern California Institute for Research and Education
Alzheimer's Association
Alzheimer's Disease Neuroimaging Initiative
Alzheimer's Drug Discovery Foundation
Austin Health
National Health and Medical Research Council
FWCI
3.26
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals