The core for e-Health, big data analysis and artificial intelligence

Major directions targeted

  • medical data analysis and costs associated with medical services,
  • building predictive models and statistical simulations;
  • optional (extracurricular) eHealth courses to introduce the UMFCD community (undergraduates, PhDs and postgraduates) to the field of eHealth and to show them the practical applicability of eHealth technologies
  • the development of intelligent solutions starting from the needs of the medical staff through projects with practical applicability for students, PhD students and post-graduates and supporting technological transfer
  • optional (extracurricular) training courses in artificial intelligence and its applicability in the medical field
  • optional (extracurricular) training courses in data analysis
  • organizing competitions and hackathons to stimulate creativity and innovation among medical students and professionals.
  • participate in the development of public policies and ethical principles in the field of e-Health
  • organizing hands-on workshops on data analysis and building AI models
  • operationalization of a multifunctional digital laboratory - data analysis
  • publication of a scientific journal dedicated to the use of technology and innovation in medicine
  • the development of specific research projects.

CieH TEAM

The core for e-Health, big data analysis and artificial intelligence

Assistant Lecturer Dr. Octavian ANDRONIC

Coordinator of The core for e-Health, big data analysis and artificial intelligence

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