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Plenary II: Neuromodulation 2035: Precision, Prediction, and Personalization

Details

Date
Friday, January 22, 2027
Time
1:30 PM – 3:30 PM
Room
Octavius Ballroom 4
Session type
Plenary
Schedule
See this day

About

By 2035, neuromodulation is expected to evolve from static, anatomy-based stimulation toward AI-driven closed-loop systems, hybrid multisite targeting, and network-guided personalization. This session will examine how advances in computational modeling, digital biomarkers, and multimodal stimulation strategies may redefine patient selection, programming, durability of response, and value-based care in chronic pain management.

Learning objectives

  • Describe the principles and clinical evidence supporting closed-loop and AI-assisted neuromodulation.
  • Evaluate the mechanistic rationale and emerging data for hybrid dorsal column, DRG, PNS, VNS, or DBS approaches.
  • Discuss how network-based phenotyping and data integration may improve patient selection, durability, and value in neuromodulation by 2035.

Faculty

Presentations