Systems and methods for predicting brain biomarker status

A system comprising:

• at least one processor;
• and
• memory storing computer-executable instructions that, when executed by the one or more processors, cause the at least one processor to:
• receive at least one set of pre-obtained response data comprising a plurality of inputs by a subject and at least one input characteristic comprising data representative of at least one feature associated with one or more of the inputs, wherein each of the inputs comprises a determination as to whether or not each image of a series of natural test images displayed satisfies at least one predetermined categorisation criterion;
• receive at least one set of pre-obtained characteristic data comprising at least one parameter indicative of a characteristic associated with the subject;
• extract the at least one input characteristic from the pre-obtained response data to generate at least one set of processed response data;
• process the at least one set of pre-obtained characteristic data;
• perform a first comparison by comparing the at least one set of processed response data to corresponding reference response data or to corresponding model reference response data derived from reference response data, wherein the reference response data or the model reference response data is indicative of a status of at least one biomarker of a brain disorder;
• perform a second comparison by comparing the at least one set of processed characteristic data to corresponding reference characteristic data or to corresponding model characteristic data derived from corresponding reference characteristic data, wherein the reference characteristic data or model characteristic data is indicative of the status of the at least one biomarker of the brain disorder;
• and
• determine the status of the at least one biomarker of the brain disorder in the brain of the subject based on the first comparison and the second comparison.