Cardiometabolic

University of Pittsburgh researchers have developed a novel approach to continuously monitor blood pressure (BP).

EVOLV-Rx is an automated data processing system that identifies low-value prescribing practices by extracting and analyzing subject data from multiple sources with varying data formats.

This tool leverages longitudinal data from the Study of Women’s Health Across the Nation (SWAN) to deliver personalized 10-year cardiovascular risk estimates for midlife women.

University of Pittsburgh researchers are developing a mobile and web application to assist clinicians in real-time calculation of the Pittsburgh Cardiac Arrest Category (PCAC) score.

University of Pittsburgh researchers have used the CRISPR technology to create a new mouse model for a rare, recessive metabolic disorder.

NeuroSmart is an AI-driven clinical decision support system (CDSS) designed to optimize stroke management by providing personalized, real-time diagnostic and treatment recommendations.

University of Pittsburgh and Carnegie Mellon University researchers have developed a novel approach to reducing the risk of intraoperative hypotension (IOH).

Parathyroid hormone (PTH) type 1 receptor (PTHR) is an indispensable G protein-coupled receptor (GPCR) of class B that functions to regulate blood levels of vitamin D, calcium, and phosphate ions in the body, as well as bone turnover.

This invention is a novel, in vivo, luciferase-based reporter animal model that provides a dynamic, quantifiable measure of methionine metabolism in living organisms.

University of Pittsburgh researchers have developed a novel therapy for chondrocyte aging and, ultimately, osteoarthritis (OA).

The University of Pittsburgh has developed a technology that enhances in vivo vasculogenic reprogramming using Tissue Nanotransfection (TNT) to deliver specific transcription factors.

University of Pittsburgh researchers have developed an innovative additive and subtractive laser-assisted rolling fabrication technique to create mesoporous, compliance-matched, and drug-eluting vascular grafts.

University of Pittsburgh researchers have developed a novel handheld oscillating wire torquing device to assist the delivery of interventional guidewires.

This is an advanced computational system employing a highly-optimized machine-learning model to provide early and precise prediction of mean blood pressure (MBP) and the associated risk of Post-Induction Hypotension (PIH) in surgical patients.

University of Pittsburgh researchers have developed a novel tool to classify vascular calcification as clinical risk.