An open-source, automated, and cost-effective platform for COVID-19 diagnosis and rapid portable genomic surveillance

Gerardo Ramos-Mandujano1, Raik Grünberg2, Yingzi Zhang1

  • 1Stem Cell and Regeneration Laboratory, Bioscience Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), 23955-6900, Thuwal, Kingdom of Saudi Arabia.

Scientific Reports
|November 22, 2023
PubMed