1. A device for multimodal assessment of a subject's neurological condition, the device comprising: an input device configured to acquire clinical results of two or more neurocognitive and/or clinical symptoms assessment performed on the subject; a processor operatively coupled to the input device, the processor configured to perform the steps of: extracting quantitative features from the clinical results of the two or more neurocognitive and/or clinical symptoms assessments performed on the subject; and applying a multimodal classifier with the extracted quantitative features to perform multimodal classification of the subject's neurological condition into one of two or more categories, wherein the multimodal classifier is pre-developed and pre-trained using selectable features from a training dataset comprising assessment data from two or more different types of neurocognitive and/or clinical symptoms assessments performed on a plurality of individuals in the presence or absence of brain abnormalities; and a display screen to display a result of the multimodal classification of the subject's neurological condition.