Farooq Kamal
@farooqkamal_1
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Postdoctoral Fellow at Douglas Cerebral Imaging Centre (CIC), McGill University @DouglasResearch @mcgillu Tweets reflect personal views.
Joined September 2022
The key findings were: 1) MRI features boost prediction over clinical data alone, paving the way for improved risk assessment and early prediction. 2) The study achieved high accuracies (around 90%) in predicting post-mortem neuropathology outcomes up to 14 years before death.
Exciting new research shows the power of combining MRI and clinical data with machine learning to predict AD pathology up to 14 years before death with ~90% accuracy! MRI features are crucial for early prediction. @DadarMahsa @farooqkamal_1
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RT @DadarMahsa: Racial and ethnic differences in white matter hypointensities: The role of vascular risk factors - Alzheimer's & Dementia -….
alz-journals.onlinelibrary.wiley.com
INTRODUCTION White matter hypointensities (WMHs) are markers of cerebrovascular pathology associated with cognitive decline. Reports of racial and ethnic differences in WMHs have been inconsistent...
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RT @CassMorrison01: Most research has examined how blood pressure impacts cognitive and brain changes, while ignoring variable BP. Our stud….
medrxiv.org
Importance Hypertension is a known risk factor for cognitive decline and structural brain changes in aging and dementia. In addition to high blood pressure (BP), individuals may also experience...
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