Center for Advancement of Technology in Kidney Disease and Metabolic Disorders. The study examines the impact of different care practices and models across national centers and systemic policies on treatment outcomes along with microbial patterns and drug resistance and emergence of new organism infections from environment-borne, antibiotic-resistant and biofilm-producing microorganisms. Applying biomolecular technology such as gene sequencing and nanopore sequencing, storing data with an online database and bring technology deep-learning AI helps to find patient’s risk of infection in dialysis and hemodialysis patients with support from many partner organizations in the country. Exchange experiences with research teams from international research institutes and the International Dialysis Federation.
