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

  • Giovanni F M Strippoli, Giovanni Tripepi, Bernard Canaud, Stefano Stuard, Franklin W Maddux, Len A Usvyat, Paola Carioni, Matteo Savoia, Germaine Wong, Carmine Zoccali

    RESULTSAmong 19,539 eligible patients at day 91, inverse probability weighting created a weighted pseudo-population of 19,758 patients (8,641 HDF; 11,117 HD). During a median follow-up of 16 months (interquartile range 6-32), 4,282 deaths occurred. Hemodiafiltration was associated with a lower risk of all-cause mortality compared with high-flux HD (hazard ratio 0.72; 95% confidence interval 0.67-0.77). At 2 years, the weighted cumulative incidence of death was 20.6% in the HDF group and 22.3% in the HD group, corresponding to an absolute risk reduction of 1.7 percentage points. Results were consistent across sensitivity analyses, including analyses accounting for country, competing risks, informative censoring, protocol adherence, and an ITT-like exposure definition. The association was broadly similar across prespecified subgroups, with only a stronger relative benefit observed among patients with pre-existing cardiovascular disease (interaction p<0.001). Higher delivered convective volumes were associated with greater survival benefit; however, these findings should be interpreted cautiously, as higher convective volumes may reflect patient stability and center expertise rather than a causal dose-response relationship.CONCLUSIONSIn this large multinational target trial emulation, sustained high-volume post-dilution hemodiafiltration was associated with lower mortality than high-flux hemodialysis.BACKGROUNDRandomized trials suggest that high-volume post-dilution hemodiafiltration (HDF) may improve survival compared with high-flux hemodialysis (HD), but evidence from routine clinical practice and from regions underrepresented in trials remains limited.METHODSWe emulated a target trial comparing HDF with high-flux HD using data from EuCliD®, a multinational registry of dialysis patients treated in eight European countries. Adults receiving thrice-weekly in-center dialysis between 2014 and 2019 were eligible. Follow-up began 91 days after dialysis initiation. Sustained treatment strategies were defined as receipt of the assigned modality for at least 90% of sessions. Inverse probability weighting was used to emulate randomized treatment assignment. The primary outcome was all-cause mortality, with kidney transplantation treated as a competing event.

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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