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Translational utility is the ability of certain biomedical imaging features to capture useful subject-level characteristics in clinical settings, yielding sensible descriptions and/or predictions for individualized treatment trajectory. An important step in achieving translational utility is to demonstrate the association between imaging features and individual characteristics, such as sex, age, and other relevant assessments, on a large out-of-sample unaffected population (no diagnosed illnesses). This initial step then provides a strong normative basis for comparison with patient populations in clinical settings. Given the complexity of the human brain, it is likely that a multi-view approach based on features from several imaging modalities will yield the greatest utility and be least prone to biases and confounds such as site/scanner effects. Detailed information.
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