Pioneering Leadership in AI, Computational Medicine, and Data Analytics

RRI brings together physicians, data scientists, mathematicians, engineers, theoretical physicists, and analysts, all united by one purpose: to transform ground-breaking research into transformative clinical care. Viewing complex problems through multiple lenses broadens our perspective and opens new avenues of inquiry. The simple words “I have a thought” can spark a discovery or change the trajectory of a research project.

Our Focus Areas

We use AI, computational medicine, and advanced analytics to develop new clinical strategies, treatments, protocols, and diagnostic tools that support clinicians and improve outcomes for patients. We operate at the intersection of clinical data, machine data, and real-world practice, with access to a large patient population and one of the world's largest and richest renal datasets. Because we have access to data that spans over 20 countries, we also have a unique opportunity to answer global questions and evaluate the effectiveness of specific healthcare interventions.

Research Innovations

Our interdisciplinary approach, the quality of our data, and our agile development process all contribute to the breadth and depth of our innovations. We've pioneered models designed to optimize anemia management and help reduce hospitalizations, and identify dialysis patients most likely to benefit from home therapy. We’ve published over 600 peer-reviewed studies since 2000, contributing not only to innovation but to a growing body of evidence-based science that shapes practice and policy.

Latest Research & News

Latest Research

  • Meijiao Zhou, Despina Ruessmann, Linda H Ficociello, Maria Gil Mir, Hans-Juergen Arens, Michael S Anger

    RESULTSAt baseline, mean age was 60 years, 58% were male, and mean sK was 5.60 ± 0.56 mEq/L. Following patiromer initiation, the proportion of patients achieving sK < 5.5 mEq/L increased from 35.6% to 69.9%. Mean sK decreased to 5.30 mEq/L at quarter 1 (Q1) and remained stable through Q4 (5.21 mEq/L). Mean sK reductions at Q4 were - 0.40, - 0.30, and - 0.21 mEq/L for patiromer doses of 8.4 g, 16.8 g, and 25.2 g once daily, respectively. Patiromer was most commonly prescribed once daily (55.9%) at 8.4 g (91.2%), and dose titrations were infrequent. Use of 1 mEq/L potassium dialysate declined from 17.2% to 11.0%. From baseline to 12 months, all-cause hospitalization rate decreased from 1.77 to 1.68 events per person-year (p = 0.004), while hyperkalemia-related hospitalizations declined from 0.35 to 0.20 (p < 0.0001). Serum calcium, sodium, phosphorus, and magnesium remained stable.CONCLUSIONSIn this large real-world cohort, lower serum potassium levels were observed following patiromer initiation over 12 months, along with stable electrolyte profiles and a low need for dose adjustments. Reductions in hospitalization rates were also observed over time but should be interpreted cautiously given the single-arm, retrospective design without a control group. These findings support the clinical utility of patiromer for chronic hyperkalemia management in HD patients.BACKGROUNDHyperkalemia is a common and potentially life-threatening complication among patients receiving maintenance hemodialysis (HD). Patiromer (Veltassa®) is an oral potassium binder with established potassium control efficacy in chronic kidney disease, but evidence in HD patients remains limited.METHODSWe conducted a retrospective, single-arm, cohort study of adult patients (n = 10,860) receiving in-center HD at Fresenius Kidney Care clinics who initiated patiromer between 2016 and 2022, comparing outcomes before (baseline: 3 months prior to initiation) and after initiation (up to 12 months of follow-up). Outcomes included changes in serum potassium (sK), treatment schedules, dosing patterns, and hospitalizations.

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Latest News

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The MONDO Initiative

RRI is a founding member of the MONitoring Dialysis Outcomes (MONDO) initiative, an international consortium of kidney care providers, academic institutions, and subject matter experts dedicated to advancing data-driven research on kidney disease. MONDO integrates clinical data, domain expertise, and advanced analytics to:

 Deepen understanding of patient characteristics, practice patterns, and physiology
 Evaluate the real-world generalizability of therapies and technologies
 Develop advanced models and AI-driven solutions to improve outcomes