Advancing optometry education through global frameworks and international collaborations.

Global curriculum initiatives aim to enhance the education of optometrists across the world. This is done by establishing competencies and frameworks necessary for consistency in education and training. Through collaboration and knowledge exchange between educators and institutions, future optometrists can be equipped with the latest evidence-based knowledge and skills to deliver quality eye care, regardless of geographical location.

Characterization of a canine freeze-dried platelet-derived hemostatic agent: A preclinical model for surgical and traumatic hemorrhage.

Introduction: A freeze-dried, platelet-derived hemostatic agent (FPH) was developed for acute hemorrhage. The canine product (cFPH) was developed for use in preclinical models supporting human product (hFPH) investigations.

Materials And Methods: A carotid artery bypass graft (CABG) study in dogs compared 3 dosages of cFPH to canine liquid stored platelets (cLSP) and vehicle (VEH) control groups.

Entry of cannabidiol into the fetal, postnatal and adult rat brain.

Cannabidiol is a major component of cannabis but without known psychoactive properties. A wide range of properties have been attributed to it, such as anti-inflammatory, analgesic, anti-cancer, anti-seizure and anxiolytic. However, being a fairly new compound in its purified form, little is known about cannabidiol brain entry, especially during development.

Mechanisms of action of an investigational new freeze-dried platelet-derived hemostatic product.

Background: A safe and efficacious hemostatic product with a long shelf-life is needed to reduce mortality from hemorrhage due to trauma and improve surgical outcomes for persons with platelet deficiency or dysfunction. Thrombosomes, a trehalose-stabilized, leukoreduced, pooled blood group-O freeze-dried platelet-derived hemostatic (FPH) with a 3-year shelf-life, may satisfy this need.

Objectives: To characterize the mechanism of action of FPH.

Metabolomic and Lipidomic Characterization of Meningioma Grades Using LC-HRMS and Machine Learning.

Meningiomas are among the most common brain tumors that arise from the leptomeningeal cover of the brain and spinal cord and account for around 37% of all central nervous system tumors. According to the World Health Organization, meningiomas are classified into three histological subtypes: benign, atypical, and anaplastic. Sometimes, meningiomas with a histological diagnosis of benign tumors show clinical characteristics and behavior of aggressive tumors.