Back to Authors

Verkaik, Josiah

Mayo Clinic

Boise State University

Citations 1

Mi-VAD - A Novel Supra-Valvular Cardiac Assist System Transitioning From Apical Cannulation
Kushwaha, S, Verkaik, Josiah, Khalpey, Zain, Joyce, Lyle D., Joyce, David, Yacoub, Magdi H., Griffiths, Leigh, Arunachalam, S., Antaki, James, Arunachalam, S P , Verkaik, Josiah E., Khalpey, Zain, Yacoub, Magdi Habib , Arunachalam, Shivaram P.

2026 Design of Medical Devices Conference | June 4, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1115/dmd2026-1073 Get It

Abstract Heart failure (HF) is a major cause of hospitalization and mortality worldwide. Ventricular assist devices (VADs) represent an alternative to cardiac transplantation for advanced HF. The main FDA-approved VAD (HeartMate III, Abbott), while effective, requires major cardiac surgery to insert the inflow cannula into the cardiac apex, and is associated with numerous co-morbidities and re-hospitalizations related to continuous flow and an external drive line and power supply. Mi-VAD, Inc. aspires to improve outcomes and quality of life with a miniature, minimally invasive, pulsatile, transcutaneously-powered VAD that is implanted above the aortic valve and/or the pulmonary valve and offering a wide range of hemodynamic support suitable for both advanced-stage and less advanced HF. Through its unique placement, there is the potential for right ventricular and biventricular cardiac assist for patients with restrictive cardiomyopathy and HFpEF for whom current VAD therapy is ineffective. Mi-VAD, Inc. has achieved proof of concept with its prototype, providing pulsatile ECG gated cardiac assist up to 10L/minute. Following initial bench top performance testing and in vivo efficacy and safety studies future work will focus on the development of wireless charging capability and conducting GLP builds for verification, regulatory clearance and commercialization. Additional technical development will focus on AI-driven hemodynamic optimization using multimodal physiologic sensing towards patient-specific digital twin of the Mi-VAD platform.