Treatment algorithms are developed and tested in large-scale VCTs using mathematical simulations of patients' physiology. In collaboration with the FMC Global Medical Office, VCT-derived algorithms have been implemented at Fresenius Kidney Care (FKC) clinics throughout North America, potentially benefiting over 160,000 FKC patients.
The computational biomedicine group works with other branches of RRI, including the clinical and laboratory research groups, data analytics team, and FMC GRD. A substantial proportion of the work undertaken by the RRI teams is specifically designed to validate concepts and insights derived from the computational biomedical research and to generate data used to inform mathematical models.
RRI's data analytics team includes highly specialized research design statisticians and epidemiologists, who can further our understanding of patient and population outcomes. The team has mastered a broad range of statistical methods, including descriptive analysis, longitudinal multidimensional models, predictive analytics, machine learning, and deep-learning neural networks. While the team's research portfolio involves a wide range of chronic kidney disease research initiatives, its primary focus is on improving kidney care through quantitative analysis. For several years, the team has been integral in the analysis of Crit-Line® data. Insights gleaned from the team’s work resulted in novel, groundbreaking research into the dynamics of intradialytic arterial and venous oxygen saturation, fluid overload, inflammation, sodium, blood pressure, and lipids.