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ProcDNA is attending the PMSA Annual Conference 2026 in New Orleans. Our team will be sharing how advanced analytics and AI can help overcome diagnostic ambiguity and identify patients in ultra-rare diseases. If you are attending, connect with Supriye, Rohit M, Akansha Nangia, and Varsha at the conference.
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Speakers
Varsha Eluri
Partner, ProcDNA
Supriye Jain
Executive Director, Analytics, ProcDNA
Rohit Madaan
Executive Director, Analytics, ProcDNA
Akansha Nangia
Senior Engagement Lead, ProcDNA
Key Takeaways for the Audience
Rare Disease Patient Identification
How AI can help overcome diagnostic ambiguity and prevalence inflation in ultra-rare diseases.
Next-Gen Forecasting
How learning systems are integrating commercial, medical, and access analytics into a single forecasting framework.
GenAI-Powered Analytics
How generative AI agents are accelerating commercial analytics and semantic data discovery.
Real-World Data & Precision Targeting
How AI combined with real-world data enables earlier prediction of disease progression.
Claims-Based Segmentation
How claims data is being used to sharpen physician segmentation and predict brand activation.
Synthetic Data in Pharma
Why synthetic data is emerging as a credible, usable substitute for real-world datasets.
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