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Exploring the relationship between multimodal magnetic resonance neuroimaging and cognitive outcomes in children: applying machine learning algorithms to brain MRI features to predict cognitive scores and performance categories of children living with and without HIV
Background: A constantly growing body of literature shows that children from low- socioeconomic status (SES) backgrounds are at risk of cognitive developmental delays, poor health outcomes, and cognitive difficulties which lead to high rates of school drop-outs and struggles in other areas of life....
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| Language: | English English |
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Department of Human Biology
2025
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