A highly diverse team imagining the undiscovered

RENAL RESEARCH INSTITUTE

Transforming
patient care
through data-driven
innovation

ABOUT THE RENAL RESEARCH INSTITUTE

The heart of RRI’s capacity for innovation is our ability to examine complex problems through multiple lenses.

The Renal Research Institute (RRI) is an internationally recognized incubator of ideas, treatment processes, and technologies to improve the lives of kidney patients. RRI’s leadership in data analytics, computational biomedicine and AI, as well as our access to a large patient population, accelerates the pace of scientific discoveries and their translation into applied medicine. Our team includes some of the brightest minds from around the world, who, along with their disciplinary expertise, bring a deep understanding of global healthcare issues and challenges.

 

Our Research

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. Our deep connection to the scientific community and to med-tech innovators gives us the rare ability to translate insight into action—quickly, precisely, and meaningfully.

 

Latest Research & News

Latest Research

  • Navdeep Tangri, Wisit Cheungpasitporn, Stanley D Crittenden, Alessia Fornoni, Carmen A Peralta, Karandeep Singh, Len A Usvyat, Amy D Waterman

    Artificial intelligence (AI) is rapidly transforming the delivery of kidney care through predictive analytics, machine learning, deep learning, and generative AI technologies. To meet this challenge, the American Society of Nephrology convened an AI Workgroup to provide a framework for the responsible use of AI in nephrology. The group outlines foundational principles to guide AI development: prioritizing patient benefit, ensuring clinician oversight, and advancing innovation in high-burden disease areas. Its set of foundational assumptions are grounded in the physician always being in the loop and an overarching goal to benefit patients with kidney disease. This review provides an overview of the clinical uses of AI in nephrology and offers practical guidance for nephrologists seeking to incorporate AI into CKD and AKI management, dialysis, and transplantation care. It also highlights key challenges-such as data quality, equity, transparency, and clinical integration-that must be addressed to ensure the responsible and effective implementation of AI in kidney care.

No Results Found

Latest News

No Results Found

Education

LATEST EPISODE

The Credit Dilemma – Ethics of Authorship in Modern Research

November 3, 2025

Who truly deserves credit for a scientific publication? How can fairness and transparency in authorship strengthen research integrity?
In this episode of Frontiers in Kidney Medicine & BioIntelligence, Dr. Len Usvyat talks with Dr. Lisa Rasmussen, Professor of Philosophy at UNC Charlotte and Editor-in-Chief of Accountability in Research. Together, they explore:

• Why authorship remains the “currency” of academic success
• How lack of universal standards fuels conflict
• The rise of “gift” and “ghost” authorship
• How AI is reshaping accountability in science
• Best practices for transparency and shared responsibility