With an experienced team of renal research experts, Frenova operates at the convergence of clinical research and renal patient care. No other clinical development services provider works with a more intimate understanding of patients affected by kidney disease and its comorbid conditions than we do. Whether you want to conduct a renal-related study or need guidance on your protocol or access to patients, trust Frenova Renal Research.

Frenova traces its beginnings back to 2000, when Fresenius Medical Care North America (FMCNA), the world’s largest provider of dialysis services for patients with end stage renal disease, centralized the clinical research function to orchestrate all research activity in its facilities.

In 2014, FMCNA launched the Frenova Renal Research® brand and continued to expand its focus from end stage renal disease (ESRD) and chronic kidney disease (CKD) to include other adjacent therapeutic areas.

In 2016, Frenova launched F1RST Up, a select group of investigator sites designed to speed site initiation. The F1RST Up alliance model uses an innovative, no-nonsense approach by prenegotiating contracts and budgets, standardizing forms and templates and acquiring regulatory documentation in advance. The concept of creating a more structured process for conducting research has proven to be successful in accelerating clinical research. In 2017, Frenova expanded the F1RST Up alliance to include 55 physician investigators representing 23 sites.

Today, Frenova manages the world’s largest network of renal research assets, including over 450 principal investigators at more than 260 sites representing 160 medical practices and nearly 700 dialysis clinics. We also offer access to nearly 200,000 active ESRD patients and hundreds of thousands of active CKD patients. By pairing this extensive network with our clinical development and bioinformatics capabilities, Frenova assesses your protocol feasibility, drives patient recruitment/enrollment strategies and executes your study.

Our Services

Bioinformatics & Analytics

  • Studies involving clinical variables and clinical outcomes
  • Defining best practices
  • Defining clinical problems
  • Exploring clinical targets
  • Elucidating outcomes associated with the use of certain clinical algorithms
  • Clinical processes/practices, medications

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