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

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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