Renal Research Institute


The Renal Research Institute (RRI) is an internationally recognized incubator of ideas, treatment processes, and technologies aimed at improving the lives of kidney patients. It specializes in computational biomedicine, data analytics, and translational research, collaborating globally to accelerate scientific discoveries and their application in medicine. RRI is committed to innovation in nephrology and dialysis, fostering collaboration across disciplines and geographies to develop cutting-edge therapies and technologies.

Industries

health-care
health-diagnostics
personal-health

Nr. of Employees

large (251-1000)

Renal Research Institute


Products

Physiology-based anemia therapy assistance software

Software combining personalized physiologic modeling and model-predictive control to generate individualized dosing recommendations for erythropoiesis-stimulating agents to stabilize hemoglobin in dialysis patients.

Ultrafiltration-rate feedback controller (prototype/clinical evaluation)

Prototype feedback controller that provides ultrafiltration-rate recommendations during extracorporeal treatment to guide relative blood volume trajectories and mitigate intradialytic hypotension risk.

Time-series classification algorithms for intraprocedural oximetry

1D-CNN and recurrence-analysis based algorithms to identify intermittent arterial oxygen saturation patterns and other oximetry-derived events during extracorporeal treatments for early detection of respiratory instability.

Prototype extracorporeal treatment system and simulation toolkit

Prototype system and mathematical modeling tools for exploratory extracorporeal treatment concepts, including ex‑vivo validation data and solute kinetics simulations.


Services

Operational coordination for investigator-led studies including site access, protocol review, data access coordination, and manuscript review support.

Secure ingestion and curation of clinic data, large-scale pseudonymized dataset management, model development and validation, and retrospective/prospective outcome analyses to support clinical decision support deployment.

Network analysis, spatial exposure assessment, and predictive modeling to investigate transmission dynamics and inform infection-control strategies within clinical facilities.

Targeted LC–MS assay development and execution for quantitation of extractables, leachables, and small molecules in device materials and biological matrices, plus contract laboratory testing.

Design and computational analysis of multi-omics studies and integration with clinical data to identify candidate biomarkers and support translational validation.

Development and deployment of image-based classification pipelines using convolutional neural networks for remote or in-person grading of vascular access and other clinical images.

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Expertise Areas

  • Clinical trial design and operational support for investigator-initiated studies
  • Computational biomedicine and clinical data science
  • Artificial intelligence and machine learning for clinical prediction and decision support
  • Real-world evidence generation and multicenter epidemiology
  • Show More (10)

Key Technologies

  • Machine learning and deep learning (CNNs, 1D-CNN, LSTM)
  • Gradient-boosted decision trees
  • Cloud data pipelines and cloud-hosted clinical databases
  • Model predictive control and closed-loop controllers
  • Show More (12)

News & Updates

Recognition for a high-frequency data pipeline collecting real-time dialysis data, enhancing patient safety and care.

Presentation of new AI research and practical applications in dialysis clinics across Asia Pacific.

A joint event discussing new therapeutics like GLP-1 RAs and SGLT2i to delay CKD progression.

Leadership transition to continue RRI's mission of research and innovation in kidney disease.

Adaptation to pandemic with virtual access to latest research and knowledge.

Focus on new drugs and management strategies to prevent CKD progression.

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