Post by Ravi Teja Pappala, PharmD, MS

🧠📊 Reimagining Clinical Trial Feasibility Through AI Just explored the insightful article from DIA Global Forum, co-authored by Jonathan Crowther (Pfizer) and Rohit Nambisan (Lokavant) “AI-Powered Clinical Trial Feasibility and Forecasting: Four Strategic Applications” 🔍 In today's complex clinical landscape, feasibility planning must evolve—from static estimates to AI-driven, real-time forecasting. This article outlines four high-impact applications that are reshaping how sponsors and CROs operate, including: ✅ Pre-study predictions—reducing planning cycles from weeks to minutes ✅ Adaptive mid-study corrections using real-time site data ✅ Stronger bid defenses through dynamic forecasting models ✅ Enterprise-level scalability to support entire pipelines 🚀 The results are incredible—AI models achieved <5% error in enrollment forecasting within just 60 days for oncology trials. That’s transformative. As someone passionate about innovative clinical development and regulatory strategy, I find this shift from reactive to predictive trial operations both exciting and necessary. 📎 Read it here https://lnkd.in/gWm7MHNJ 📸 Featuring expert insights from Pfizer & Lokavant this is a must-read for anyone in clinical research, regulatory, or digital health innovation. #ClinicalTrials #AI #Forecasting #Pfizer #Lokavant #RegulatoryAffairs #DrugDevelopment #DIA2025 #InnovationInResearch #DigitalTransformation