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

  • David J Jörg, Samantha Kennedy, Peter Kotanko, Steven B Heymsfield

    Body surface area is fundamental to clinical medicine, underpinning drug dosing in oncology and pediatrics and normalizing physiological variables such as cardiac output and glomerular filtration rate. Despite over a century of use, most body surface area equations adopt power-law forms derived empirically with little explicit biological justification, and whether body composition data improve prediction has remained unclear. Here, we used high-resolution three-dimensional laser scanning to measure body surface area and dual-energy x-ray absorptiometry (DXA) to measure body composition in 106 healthy adults spanning a wide range of ages, body sizes, and demographic features. Notably, simple linear models predicted body surface area as accurately as complex power-law or body composition-aware formulations: according to sex-specific linear regression, body surface area changes by about 100-115 cm2 per kilogram of body mass and about 70-80 cm2 per centimeter of body height, with no substantial improvement from including lean, fat, or bone mineral mass as separate predictors within the anthropometric range studied. These findings suggest that the long-standing reliance on allometric power-law equations reflects historical convention rather than biological necessity, and that simple linear formulas may suffice for clinical body surface area estimation within the range of body sizes studied here.

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Latest News

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Education

LATEST EPISODE

Beyond the Equation | Dr. Amaka Eneanya on Kidney Function, Clinical Change, and Communication

March 2, 2026

In this episode of Frontiers in Kidney Medicine and Biointelligence, host Len Usvyat, MD, is joined by Amaka Eneanya, MD, MPH, FASN, Adjunct Professor of Medicine at Emory University School of Medicine and former Chief Transformation Officer at Emory Healthcare. Dr. Eneanya reflects on kidney function estimation, the evolution of clinical tools in nephrology, and the role of communication, patient perspectives, and digital platforms in shaping medical discourse. This episode offers an in-depth discussion on how research findings move from theory into real-world clinical practice.