IntelVasc is developing a minimally invasive vascular sensor that wirelessly monitors vascular occlusions in patients with Peripheral Arterial Disease, enabling early detection of complications from a patient's home. This technology addresses the high risk of cardiovascular events in asymptomatic patients by facilitating proactive follow-up care and reducing missed medical visits.
Funding
Funding not disclosed
Founders
Product
Problem
Many patients with Peripheral Arterial Disease (PAD) are asymptomatic, leading to a high risk of undetected cardiovascular events. A significant percentage of these patients miss critical follow-up appointments, increasing the likelihood of unnoticed and potentially deadly vascular complications. Even after surgery, patients face substantial risks of stroke, heart attack, and amputation.
Solution
IntelVasc is developing a wirelessly powered, minimally invasive vascular sensor designed for remote monitoring of vascular stenosis in PAD patients. The biosensor is easy to implant and use, enabling early detection of vascular occlusions and potential cardiovascular events from the patient's home. Data collected by the sensor is transmitted to a cloud-based platform, where AI-powered analytics provide clinicians with reliable metrics to assist in informed medical decisions. This technology facilitates proactive follow-up care, reduces missed medical visits, and aims to significantly decrease the incidence of severe vascular events by enabling timely interventions.
Target Audience
The primary target audience includes vascular surgeons, interventional cardiologists, and other clinicians involved in the care of patients with Peripheral Arterial Disease, as well as the patients themselves.
Features
- Minimally invasive vascular biosensor for easy implantation.
- Wireless power transfer, activating the sensor only when needed.
- Remote monitoring of vessel stenosis to anticipate vascular events.
- User-friendly mobile app and reader device for patient data collection.
- Cloud dashboard providing clinicians with access to rich analytics.
- AI-powered data backend for reliable metrics and informed medical decisions.