Clinical
Controlling the fluid balance during longer surgical procedures is crucial to prevent serious complications.
Disruptive AI supported software solution for non-invasive advanced hemodynamic monitoring with ECG signals
PreSeed Financing granted by BMWET and processed by aws
Controlling the fluid balance during longer surgical procedures is crucial to prevent serious complications.
Monitoring liquid intake in elderly patients with impaired thirst sensation supports staff in nursing homes and homecare market.
Monitoring fluid levels during training or competition helps athletes to avoid performance drops due to insufficient or incorrect fluid intake.
PhD; long-standing entrepreneur, holds multiple patents directly or via CN Medical Research LLC.
Family Practice & Urgent Care (US); involved in drafting and developing the patents and underlying technology.
Serial founder; trained lawyer (J.D. Vienna, LL.M Virginia), admitted to the bar in Austria & New York; CEO of the company.
Professor of Anaesthesiology & Intensive Care, Medical University of Vienna; research focus on haemodynamic monitoring, organ failure & sepsis.
Head of Anesthesia & Intensive Care, Johannes Kepler University. Current research: AI & data modeling for improved patient care.
Head of Biomedical Sensing & Diagnostics, Technical University Vienna; expertise in non-invasive monitoring.
Research & development company with core competences in AI, symbolic computation, mathematics and computer science.
Center for acute animal tests investigating fluid information in ECG data.
Austria’s leading tech university. The Biomedical Sensing team supplies signal-processing know-how and prototype support.
Federal innovation bank. Co-funds our R-&-D via Deep-Tech Grant and links us to mentors and investors.
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Email: info@cnmedicalresearch.com