This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Ecole Polytechnique FÉDÉRALE De Lausanne (Epfl). Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Vasiliki Bikia and Cardiovascular Estimation Innovation.
Introduction
Vasiliki Bikia is an inventor associated with École Polytechnique Fédérale de Lausanne (EPFL) in Lausanne, Switzerland. Her patent work focuses on using machine learning and physiological measurements to estimate cardiovascular parameters in real time.
Latest Patents
Bikia is associated with 1 patent: “System and Methods for Real-Time Noninvasive Estimation of Cardiovascular Parameters Using Machine Learning.” The invention uses noninvasively measured physiological parameters and a one-dimensional arterial-tree numerical model to estimate cardiovascular parameters that cannot be observed noninvasively. The model can be calibrated with representative patient data and further trained using machine-learning algorithms and synthetic data, supporting generalized estimates of cardiovascular and hemodynamic parameters.
Career Highlights
Bikia’s listed patent reflects work at the intersection of cardiovascular modeling, noninvasive measurement, and machine learning. Her affiliation with EPFL connects this research to a university environment focused on science and engineering.
Collaborations
Her listed coworkers include Stamatia Pagoulatou and Nikolaos Stergiopulos. Their names are associated with the same research and patent context.
Conclusion
Vasiliki Bikia’s patent describes a machine-learning approach to estimating cardiovascular and hemodynamic parameters from noninvasive measurements, highlighting her contribution to biomedical innovation at EPFL.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile