Team
MSc Computer Science and Electronics in Medicine
Product
Owner
Manager and PI of 22 research projects. 40 publications and 4 patents.
Research interests:
medical image analysis, AI/ML/DL
MSc Computer Science
Technical Solutions Architect
A software engineer with over 14 years of commercial Java and C++ experience.
Research interests:
cloud computing, AI
PhD Computer Science
CTO
Strong industry background 12-year academic research Numerous publications and patents.
Research interests:
cloud computing, 5g networking, AI
MSc Computer Science
CEO
15-year industry experience.
6 Publications and patent.
Founder of Autosymed SRL and operational director.
Student - Computer Science and Design Engineering.
Full stack developer
Working with Java, Springboot, Python and Angular, as well as adopting to any emerging requirements of the job.
Interested in distributed systems, robotics and machine learning among other areas of software engineering.
BSc Computer Science Computer Vision Engineer
Programmer with commercial experience in Python and C++. Former Laboratory Tutor with interest in academic research.
Research interests: AI, Software Development Efficiency, Predictive Modeling
B.Sc. in Mathematics and Computer Science
AI/ML developer with experience in python development currently pursuing a M.Sc. in Artificial Intelligence.
Research interests:
AI/ML/DL, Computer Vision, Natural Language Processing
Medical Student & Researcher at Jagiellonian University
4
core team members
4
full-time
developers
5
supportive
developers
4
cardiologists
2
medical
doctors
Advisory board
Prof. Michael Friebe
- Research Fellow with the Technical University of Munich, Germany.
- Professor of image-guided therapies with Otto von Guericke University, Magdeburg, Germany.
- Professor of biomedical engineering innovation with the AGH University of Science and Technology, Kraków, Poland.
- Professor of Queensland University of Technology, Brisbane.
- Board Member of four medical technology start-up companies and an investment partner of a MedTech- fund.
- Distinguished Lecturer of the IEEE EMBC teaching innovation generation and MedTec entrepreneurship.
Collaboration
CadFlow invites diverse stakeholders to contribute to the advancement of cardiac care through our innovative product. Here are several avenues for potential collaboration:
Medical Specialists
Medical experts, particularly cardiologists, can actively engage by providing annotations and corrections to AI algorithm results. Their valuable input ensures the accuracy of coronary artery segmentation, branch identification, and lesion detection and characterization. Additionally, their feedback on user experience will aid in refining the product for optimal performance.
Healthcare Providers
Hospitals, both public and private, and other medical units have the opportunity to integrate CadFlow into their workflow for real-time coronarography analysis. Our cloud-based teleconsultation platform facilitates collaboration among heart teams, enabling the secure sharing of medical data for consultations.
Medical Specialists (cardiologists)
Cardiologists looking to enhance their diagnostic capabilities can utilize CadFlow for stenosis detection, characterization, and SyntaxScore calculation. By incorporating CadFlow into their practice, they can save time and have coronarography data analysis and treatment decisions facilitated.
Researchers and Institutions
Research and development institutions, universities, and researchers seeking robust datasets for ML model training and algorithms development can collaborate with CadFlow.
Scientific Projects Collaborations
Scientists, researchers, and institutions interested in research collaborations can explore partnership opportunities with CadFlow. Collaborative projects can drive AI/ML/DL/tech innovative solutions and advancements in the medical field.
Developers and AI/ML Specialists
Skilled developers and AI/ML specialists are invited to join our team to contribute to the ongoing enhancement of CadFlow. Your expertise can help shape the future of cardiac care by refining algorithms and expanding the capabilities of our system.
Enthusiasts
Anyone passionate about advancing cardiac care and contributing to cutting-edge technology is welcome to engage with CadFlow. Your interest and support play a vital role in shaping the future of cardiac diagnostics and treatment.
CadFlow's collaborative approach ensures that a diverse range of perspectives converge to enhance the effectiveness, accuracy, and accessibility of cardiac care. Whether you are a medical specialist, researcher, developer, healthcare provider, or enthusiast, there's a pathway for you to contribute to CadFlow's mission of revolutionizing cardiac care through innovative AI-driven solutions.
Career
Join our team
Become part of our team where you can boost your strengths and capabilities creating synergy to overcome challenges. Every day is a chance to learn, innovate, and redefine what’s achievable.
Fuel Your Curiosity
Discover Emerging Technologies
CadFlow is developed with Domain Driven Design principles, employing newest technologie i.e. microservices, virtualization with docker containers, automated Azure cloud CI/CD. Engage in algorithm development, AI/ML/DL exploration, medical image analysis, and data analytics, contribute to scientific breakthroughs and research papers.
Unlock Global Opportunities
Join CadFlow and open the door to a world of opportunities. Collaborate with experts in diverse healthcare settings, travel the globe, participate in scientific conferences, trainings, and learn from the best in the field. Grow your career and expand your network with CadFlow.
Make an Impact
Maintain Work-Life Balance
At CadFlow, we understand the importance of a healthy work-life balance. Join our team to enjoy a supportive environment that values your well-being. Every day, you’ll have the chance to contribute your skills, grow professionally, and have time for your personal passions and interests.
