Vectorious Medical Technologies

Vectorious Medical Technologies

Developed an in-heart microcomputer that monitors the heart’s left atrium pressure, thereby enabling optimal treatment of heart disease patient.

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$5.0m

Valuation: $75.0m

Series C
Total Funding000k
More about Vectorious Medical Technologies
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Vectorious Medical Technologies is a pioneering startup in the medical technology sector, specializing in the early detection and management of heart failure. The company has developed the V-LAP, the world's first in-heart microcomputer, which provides real-time monitoring of left atrial pressure (LAP). This innovative device allows physicians to detect heart failure at its earliest stages, even before symptoms appear, enabling more effective and timely treatment.

Vectorious primarily serves cardiologists and healthcare providers who treat patients with heart failure. The company operates in the global healthcare market, focusing on regions with high incidences of heart disease. By providing continuous, real-time data on heart pressure, the V-LAP device helps doctors make informed decisions about patient care, potentially reducing hospital readmissions and lowering mortality rates.

The business model of Vectorious revolves around the sale and distribution of the V-LAP device to hospitals and clinics. Additionally, the company may generate revenue through ongoing service agreements, including data analytics and support services, which help healthcare providers interpret the data collected by the device. The use of advanced AI algorithms enhances the value of the data, providing actionable insights that can improve patient outcomes.

Vectorious has received funding from the European Union's Horizon 2020 research and innovation program, which underscores the credibility and potential impact of its technology. The company aims to transform the treatment of heart failure, improving the quality of life for millions of patients worldwide.

Keywords: heart failure, microcomputer, left atrial pressure, real-time monitoring, cardiology, healthcare, AI algorithms, early detection, patient data, medical technology.

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