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
Nr. of Employees
large (251-1000)
Renal Research Institute
New York, New York, United States, North America
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.
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
Investigator-initiated trials operational support
Operational coordination for investigator-led studies including site access, protocol review, data access coordination, and manuscript review support.
Real-world data analytics and clinical AI model development
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.
Epidemiologic and outbreak analytics for clinical networks
Network analysis, spatial exposure assessment, and predictive modeling to investigate transmission dynamics and inform infection-control strategies within clinical facilities.
Analytical testing and assay development for device and biological samples
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.
Omics study design and biomarker discovery
Design and computational analysis of multi-omics studies and integration with clinical data to identify candidate biomarkers and support translational validation.
Computer vision assessment for image-based clinical classification
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.
Investigator-initiated trials operational support
Operational coordination for investigator-led studies including site access, protocol review, data access coordination, and manuscript review support.
Real-world data analytics and clinical AI model development
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.
Epidemiologic and outbreak analytics for clinical networks
Network analysis, spatial exposure assessment, and predictive modeling to investigate transmission dynamics and inform infection-control strategies within clinical facilities.
Analytical testing and assay development for device and biological samples
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.
Omics study design and biomarker discovery
Design and computational analysis of multi-omics studies and integration with clinical data to identify candidate biomarkers and support translational validation.
Computer vision assessment for image-based clinical classification
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.
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
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