Artificial Intelligence-Optimized Vagus Nerve Stimulation for Treating Guillain-Barré Syndrome: A Non-Pharmacological Bioelectronic Approach

This research project, motivated by my own experiences with Immune Thrombocytopenic Purpura (ITP), explored the integration of Artificial Intelligence (AI) with Vagus Nerve Stimulation (VNS) as a potential, non-pharmacological alternative to traditional treatments like IVIG and plasmapheresis for Guillain-Barré Syndrome (GBS). By reviewing the pathophysiology of GBS and the anti-inflammatory mechanism of VNS: the "inflammatory reflex", I aimed to conceptualize how AI techniques, such as reinforcement learning and adaptive control, could create a closed-loop system. This system would personalize VNS parameters in real-time based on patient-specific biosignals (like heart rate variability), ultimately offering a safer, more effective, and more adaptive treatment pathway to reduce neuroinflammation and minimize dependence on high-dose drugs for patients with immune-mediated disorders.