“I have also felt FIBROMYALGIA was a symptom of Vertebral Subluxations, this study confirms my thoughts”, Dr. J Hartley Eagle, ID — July 2, 2025 — Congratulations to Drs. Ibrahim M. Moustafa, Iman Akef Khowailed, Shima A. Mohammad Zadeh, Dilber Uzun Ozsahin, Mubarak Taiwo Mustapha, Paul A. Oakley, and Deed E. Harrison on their publication in Scientific Reports, showcasing an innovative use of machine learning to explore how spinal posture affects fibromyalgia symptom severity. Using advanced machine learning (ML) models—including the novel FastKAN-Bee Colony Optimization algorithm—this study analyzed the posture and clinical data of 303 fibromyalgia patients to predict pain, disability, sleep disturbance, and psychological distress. The findings? Spinal misalignments such as sagittal imbalance, pelvic tilt, and vertebral rotation over 10° were consistently associated with worse symptom severity. Among the key outcomes:
These insights suggest that poor posture may play a central role in the perpetuation of chronic pain and central sensitization in fibromyalgia—opening the door for more personalized, posture-based treatment strategies. “This study changes the narrative around fibromyalgia,” said Dr. Deed Harrison, co-author and CEO of CBP NonProfit. “By integrating biomechanical and computational analysis, we’re bringing precision medicine to the field of chronic pain.” The study emphasizes the need for spinal alignment assessments in fibromyalgia management and supports the clinical efficacy of postural correction techniques in improving quality of life.
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Groundbreaking Study Uses AI to Uncover Spinal Posture as Key Predictor of Fibromyalgia Severity
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