Abstract: A method of diagnosing central nervous system injuries such as acquired brain injury (ABI) and/or acquired spinal cord injury (ASI), including mild TBI (concussion or blast wave), mild ASI (contusion, stretch or partial cord transection), non-TBI brain injury and/or non-TSI spinal cord injury in a subject (animal or human). The method includes (a) obtaining a biological test sample from the subject, identifying metabolites in the subject's sample using metabolomics thereby obtaining a subject's metabolite matrix and generating a subject's profile using the patient's metabolite matrix; and (b) using multivariate statistical analysis and machine learning to compare the subject's profile with predetermined set of profiles of CNS injuries and a predetermined set of profiles of controls to determine if the subject has a CNS injury.

Abstract: Methods for providing diagnostic information using endocardial surface data for a patient's heart are described herein. In some embodiments, endocardial surface data for the left ventricle of a heart is received. The endocardial surface data represents the endocardial surface of the left ventricle at multiple times over a heartbeat and is obtained using a volumetric imaging application. A representation in prolate spheroidal coordinates of the endocardial surface of the left ventricle at least a portion of the multiple times is generated using the endocardial surface data. The prolate spheroidal coordinates include a longitudinal angular coordinate ?, a circumferential angular coordinate ?, and a coordinate ? as a function of longitudinal angular coordinate ? and circumferential angular coordinate ?. A measure that provides diagnostic information related to the left ventricle is computed based at least on part on the value of coordinate ?.