A simple risk model for predicting Metabolic Syndrome

Via Peters

Introduction Worldwide, the prevalence of Metabolic Syndrome (MetS) – “a clustering of risk factors which includes hypertension, central obesity, impaired glucose metabolism with insulin resistance, and dyslipidemia”1 is high and rising, with nearly one in four adults affected.2 The diagnosis of MetS increases an individual’s risk of developing CVD by […]

Cell Publication Highlights Ionpath MIBI Spatial Proteomics Technology in Foundational Study Predicting Breast Cancer Progression

Via Peters

MENLO PARK, Calif.–(BUSINESS WIRE)–Ionpath, Inc., the leader in high-definition spatial proteomics, today announced that a peer-reviewed research study led by scientists at Stanford University, Washington University, Duke University, and Arizona State University has been published in the journal Cell. The study, which focused on investigating potential indicators in the progression […]