Machine learning to distinguish HAND from Alzheimer's disease in HIV over age 60 — Kilian Maria Pohl (UNIVERSITY OF CALIFORNIA, SA
The CDC estimated that one-quarter of Americans living with HIV were over the age of 55 in 2012. By next year, they will be over age 60, entering into the age demographic where Alzheimer's disease (AD
| Project title | Machine learning to distinguish HAND from Alzheimer's disease in HIV over age 60 |
|---|---|
| Project number | 5R01MH113406-05 |
| PI name | Kilian Maria Pohl |
| Institution | UNIVERSITY OF CALIFORNIA, SAN FRANCISCO |
| Funding mechanism | R01 |
| Agency | NIMH |
| Award amount | $1.09M |
| Fiscal year | 2021 |
| Project start | 2017-05-01T00:00:00 |
| Project end | 2024-01-31T00:00:00 |
| Abstract | The CDC estimated that one-quarter of Americans living with HIV were over the age of 55 in 2012. By next year, they will be over age 60, entering into the age demographic where Alzheimer's disease (AD |
| Key terms | <AD dementia><AIDS Virus><AIDS test><AIDS/HIV test><Accuracy of Diagnosis><Acetylcholinesterase Inhi |
$799/mo
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