Abstract: Methods of diagnosing COVID-19 infection in a subject comprising: (a) obtaining a test sample from the subject (b) comparing levels of a biomarker in the test sample with known normal reference levels of the biomarker, wherein an increase in the level f the biomarker in the test sample relative to the known reference levels of the biomarker is indicative of COVID-19 diagnosis in the subject, the biomarker being one or more of granzyme B, tumor necrosis factor (TNF), heat shock protein 70 (HSP70), interleukin-18 (IL-18), interferon-gamma-inducible protein 10 (IP-10) and elastase 2. These biomarkers are used as therapeutic targets for COVID-19 infection. Also, methods that serve to prognosticate the outcome, recovery and disease severity of COVID-19 patients.

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: 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: A two-component running board for use with a vehicle comprising a mounting structure supporting a molded step cover. The mounting structure is manufactured from a first material known for its strength, light weight and integrity comprising an optionally integrated means of attaching the molded step cover to the mounting structure without the need for additional hardware or adhesive means. In at least one preferred embodiment, the mounting structure has an integrated means of attaching the two-component running board assembly to the body or sub-frame of the vehicle. The step cover is individualized for each application but comprises an anti-slip step surface on the top side adjacent the vehicle doors, which when installed can support the weight of at least one passenger.

Abstract: A running board light assembly is provided having a light source emitting light into a light tube extending along the length of a running board. The light tube casts light directly and uniformly upon a stepping surface of the running board and upon a ground surface below the running board, without directing excessive glare or light into the eyes of the user.