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

Transforming Uncertainty into Statistical Confidence: Simulation-Driven Design for a First-in-Human Reproductive Therapeutic 
Case Studies

Transforming Uncertainty into Statistical Confidence: Simulation-Driven Design for a First-in-Human Reproductive Therapeutic 

July 20th, 2026 1 minute read

Designing a first-in-human study is challenging. Designing one for a novel reproductive therapy with limited prior da...

Turning Complexity into Regulatory Confidence: Designing a Seamless Phase 2b/3 Strategy for FDA Engagement 
Case Studies

Turning Complexity into Regulatory Confidence: Designing a Seamless Phase 2b/3 Strategy for FDA Engagement 

July 20th, 2026 1 minute read

Accelerating clinical development requires more than speed, it demands a careful balance between innovation, scientif...

Enabling First-in-Human Trial Success: Delivering an Innovative Bayesian Phase I/II Oncology Design 
Case Studies

Enabling First-in-Human Trial Success: Delivering an Innovative Bayesian Phase I/II Oncology Design 

July 20th, 2026 1 minute read

Helping an Emerging Biotech Navigate Complex Clinical Development Preparing for a first-in-human clinical trial prese...