Using Real-World Data to Predict Diabetic Complications in PRECARD study 

1 minute read

Case Studies

Published: June 11th, 2025

A new predictive tool built from NHS data helps identify patients most at risk of kidney disease and retinopathy. It supports earlier, more personalized care.

See how it’s helping clinicians address health inequities and use resources more effectively.

Complete the form below to read the full case study

Related articles

Translating Real-World Data into Commercial Success with Outcome Modelling 
Case Studies

Translating Real-World Data into Commercial Success with Outcome Modelling 

July 13th, 2026 1 minute read

Demonstrating real-world value is critical for securing pricing and market access, but bridging the gap between clini...

Scaling Real-World Evidence to Maximize Drug Lifecycle Value 
Case Studies

Scaling Real-World Evidence to Maximize Drug Lifecycle Value 

July 13th, 2026 1 minute read

Biopharma organizations have access to vast amounts of real-world data, but extracting meaningful, actionable insight...

Extending Trial Value with Long-Term Benefit–Risk Simulation in Prostate Cancer
Case Studies

Extending Trial Value with Long-Term Benefit–Risk Simulation in Prostate Cancer

July 13th, 2026 1 minute read

Demonstrating short-term efficacy is no longer enough, regulators increasingly require a clear understanding of long-...