Repository logo
Communities & Collections
Research Outputs
Fundings & Projects
People
Statistics
User Manual
Have you forgotten your password?
  1. Home
  2. Faculty of Computer Science and Engineering
  3. Faculty of Computer Science and Engineering: Conference papers
  4. AI cloud-based end-to-end technology for accurate, fast & affordable diagnosis of genetic disorders in Egypt
Details

AI cloud-based end-to-end technology for accurate, fast & affordable diagnosis of genetic disorders in Egypt

Date Issued
2024-12-01
Author(s)
Kyriakidis, Chris
Saad Elmorshedy, Ahmed
Elamir Mohamed, Walaa
Garrido Navas, Carmen
Chulian Prado, Sara
Schack, Anne Kristine
Alapont, Karmele
Velkoski, Zoran
Chaushevska, Marija
Madjarov, Gjorgji

⠀

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify