The future of pain research: neuromodulation and surgery.

Abstract

By 2075, neuromodulation and surgical treatments for pain will be heavily impacted by advances in artificial intelligence, regenerative medicine, and precision diagnostics. Digital brain twins will enable patient-specific simulations to optimize intervention selection, while adaptive neuromodulatory systems will provide real-time, responsive pain management. Personalized treatments will replace the current trial-and-error approach, using genetics, neurophysiology, and AI-driven decision tools. Minimally invasive, home-based neuromodulation will increase accessibility, and ethical data governance will enhance patient autonomy. These advances will transform pain from a chronic, partially relieved condition into a precisely treatable disorder, fundamentally improving patient outcomes and healthcare efficiency.By 2075, precision diagnostics will match each pain patient to the optimal neuromodulation or surgical strategy before treatment begins. Adaptive, minimally invasive, home-based devices will deliver real-time, closed-loop stimulation, shifting therapy from trial-and-error to responsive, individualized care. Big-data guidance on timing, modality, and duration will cut failure rates, while robotics and regenerative techniques expand access and shorten recovery. Adapted ethics and data-governance frameworks will safeguard autonomy, so chronic pain becomes a precisely treatable, and hopefully curable, condition.