Case Study: RenalytixAI accelerates kidney disease diagnosis with Persistent Systems

A Persistent Systems Case Study

Preview of the RenalytixAI Case Study

RenalytixAI brings life-saving kidney diagnostic solutions to market faster

RenalytixAI worked with Persistent Systems to accelerate the development of an ML-based kidney disease risk scoring solution. The challenge was to use blood-based biomarkers and longitudinal clinical records to estimate kidney disease risk, including a five-year forecast, so clinicians could identify patients earlier and more accurately.

Persistent Systems implemented data science and AI capabilities alongside complex software development, using technologies such as Python, R Studio, Azure VM, and Git. The result was an ML-based kidney score that helps doctors and patients detect kidney disease earlier and take corrective action sooner to help prevent deterioration of kidney function.


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RenalytixAI

Fergus Fleming

Chief Technology Officer, co-founder


Persistent Systems

416 Case Studies