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ISPOR 2025 Montreal: AI Is Rewriting Methodological & Statistical Research Can AI drive smarter study design, accelerate systematic reviews, and predict patient outcomes with precision? According to the latest abstracts in Methodological & Statistical Research, the answer is a bold yes: 🧠 Neural networks optimizing statin dosing to prevent discontinuation 🤖 GenAI frameworks designing RWE protocols in minutes, not months 📊 AI tools that auto-classify abstracts and predict maternity care costs with 70% accuracy 📦 Open-source R packages making transportability analysis finally scalable But don't just take our word for it. See what's possible now ⤵️ 💡 Our KnolQuest platform built this Inflammatory Bowel Disease (IBD) case study in real-time: ► Low health confidence predicts 10x higher ER visits ► 86% of patients want drug therapy, but only 39% talk to doctors ► Personalized insights could reduce hospitalizations and HCRU Full insights attached — see the power of AI-driven HEOR in action 📍 ✨ What could KnolQuest reveal in your therapeutic area? Marissa Seligman, Samuel Weiss, Rita Shah, Sanjeev Sachdeva, Pamela Landsman-Blumberg, Jordana Schmier, Barinder Singh, Vicky Huang, Xuan (Jessie) Zhang, Jessica Wagner Duchen, Murat K., Ellen Kasireddy, Iris (Qianyu) Zhang, PhD, Pierantonio Russo MD, FCPP, FAAP, STS, Vicki Y., Luk Arbuckle, Joris Van Stiphout, Daniela Barbosa Campos, Yingxin Xu, Ying Li, Ipek Ö. Stillman Abstract Link: https://lnkd.in/gB27xDQX - What would your research look like through an AI lens? ✨ Imagine turning your research into this kind of insight—automatically. 📍 Visit our booth #1822 at #ISPOR #2025 #Montreal to experience how #KnolQuest transforms complex data into actionable insights—in minutes. 📩 Comment "Demo" below for a personalized Knolens demo before #ISPOR2025. #ISPOR2025 #Montreal #HEOR #IBD #AIinResearch #KnolQuest #EvidenceGeneration #MachineLearning Sanat Mohanty | Srinivas Padmanabharao | Omkar Patil