Moonrise Medical
Moonrise Medical is dedicated to developing AI-enabled ultrasound technology aimed at improving the diagnosis and treatment of peripheral vascular diseases, particularly focusing on conditions like Peripheral Artery Disease (PAD) and Diabetic Foot Ulcers (DFU). Their innovative approach seeks to enhance wound healing and prevent amputations through accurate and timely vascular assessments.
Industries
N/A
Nr. of Employees
small (1-50)
Moonrise Medical
295 Robinson St. Suite 100, Oakville, Ontario L6J 1G7, Canada
Awards
Fiscal Year 2024 Military Prototype Advancement Initiative (MPAI)
Automated Ultrasound for Vascular Trauma
Funding (ceiling)
$496,778.28
Award Year
2025
Patents
Products
AI-enabled ultrasound device for peripheral vascular flow assessment
A medical device combining ultrasound imaging and AI analytics to quantify peripheral vascular hemodynamics, intended to aid diagnosis of PAD, assess diabetic foot ulcers, and guide revascularization.
AI-enabled ultrasound device for peripheral vascular flow assessment
A medical device combining ultrasound imaging and AI analytics to quantify peripheral vascular hemodynamics, intended to aid diagnosis of PAD, assess diabetic foot ulcers, and guide revascularization.
Expertise Areas
- Peripheral vascular diagnostics
- Ultrasound imaging and biomarker discovery
- AI/ML for medical imaging
- Intraoperative hemodynamic monitoring
Key Technologies
- Ultrasound imaging
- AI / machine learning for imaging
- Hemodynamic flow measurement
- Real-time monitoring systems
Key People
Adam Gold
Chief Executive Officer
Abubaker Khalifa, MD
Chief Operating Officer
Jill Sommerset, RVT
Chief Scientific Officer
Adam Gold
Chief Executive Officer
Abubaker Khalifa, MD
Chief Operating Officer
Jill Sommerset, RVT
Chief Scientific Officer
Featured In Technology Showcase
Automated Portable Ultrasound for Rapid Vascular Assessment in Combat Casualty Care: Moonrise Medical Inc.
Moonrise Medical Inc. is developing an automated portable ultrasound system for rapid vascular assessment and real-time blood-flow monitoring in combat casualty care. The project is supported through MTEC Award No. 24-01-MPAI-149.