Abstract: A space-saving suitcase assembly comprising a plurality of telescoping tubes, the plurality of telescoping tubes including a base tube and a top tube; a handle connected to the top tube; a release button positioned on the handle; the suitcase having a top side, a front side, a back side, a left side, a right side, and a bottom side creating a perimeter surface and an internal volume, a modular stabilizing element made from a rigid material, the modular stabilizing element affixed to the top side via mounting hardware; the base tube connected to the modular stabilizing element providing support to the plurality of telescoping tubes. The modular stabilizing element, the top of the suitcase, or the entire suitcase with modular stabilizing element and base tube and telescoping handles may be manufactured as one unit by injection molding, CNC machining, or 3D additive manufacturing (3D printing), or other manufacturing process.

Abstract: This invention relates to a method for significantly increasing the accuracy of predicting and selecting an antidepressant agent, or other pharmacological agent for treatment of a disease state, that will be effective based on pre-treatment or baseline, placebo treatment and/or active treatment, or other post-treatment time period data, early changes quantitative EEG or other brain imaging functional state and/or anatomical data (such as magnetoencephalography (MEG), quantitative MEG (QMEG), fMRI, CAT scan, PET, functional PET, X-ray, etc.), time change/time series, weighted factor, principal component, regional ensemble and/or artificial intelligence analysis. Utilization of such methods may also be applied to enhance individual statement verification and/or lie detection. In addition, such methods can be used to identify physiological state, pathophysiological state, including disease diagnosis, disease progression and/or remission, and other health and/or disease states and changes of interest.