Electromagnetic Immunotherapy Mapping and Cytokine Forecasting Study (QSIT)

This exploratory, randomized, double-blind, parallel-assignment Phase I/II trial is designed to evaluate the safety, tolerability, and biological activity of low-frequency electromagnetic resonance (LF-EMR) for immune modulation. Rationale and Objectives Autoimmune diseases involve abnormal immune signaling that leads to chronic inflammation. Emerging biophysical evidence suggests that immune cells generate and respond to ultra-low-frequency electromagnetic fields that may coordinate cytokine release and cell communication. The ImmuneNet protocol seeks to harness this phenomenon through controlled, resonant electromagnetic exposure to promote immune homeostasis. Methods Approximately 120 adults aged 18-70 with stable autoimmune disease will be enrolled at Truway Health Research Centers in New York, NY and Austin, TX. Participants will be randomly assigned in a 1:1 ratio to active or sham LF-EMR stimulation. Active participants will receive 7-40 Hz resonant fields (\< 2 microtesla) for 20 minutes per session, three times weekly for twelve weeks. Sham participants will undergo identical procedures with the device inactive. Blood samples collected at baseline, week 6, week 12, and six-month follow-up will undergo multiplex cytokine analysis, RNA sequencing, and electrophysiologic coherence mapping. Machine-learning models will be trained to forecast cytokine cascades and flare probability. Outcome Measures The primary endpoint is reduction in documented autoimmune flare frequency over six months. Secondary endpoints include changes in serum cytokine synchronization index, transcriptomic shift magnitude, patient-reported global health scores, and adverse-event incidence. Ethics and Oversight The study will follow Good Clinical Practice (GCP) guidelines and be reviewed by an independent institutional review board. Participation is voluntary, and informed consent will be obtained from all subjects. Expected Impact If successful, the trial will demonstrate a safe, non-pharmacologic approach to immune regulation and establish a data framework for future AI-guided quantum-resonant therapies. The knowledge gained could lead to new treatment options for autoimmune and chronic inflammatory diseases while reducing reliance on long-term immunosuppressive drugs.