MyndTec is transforming chronic pain management with an advanced machine learning model designed to predict patient responsiveness to Spinal Cord Stimulation (SCS). This model can predict which patients are most suitable/responsive for spinal cord stimulation By utilizing comprehensive patient data and cutting-edge predictive analytics, we aim to enhance outcomes, reduce failure rates, and optimize healthcare resources.

Analyzing the following parameters, this groundbreaking predictive model determines which patients are most suitable for SCS:

• Patient Demographics: Including age, gender, and other baseline factors.
• Pain Descriptors: Such as type, intensity, and duration of pain.
• Medical History: Including comorbidities, psychiatric profiles, and previous treatment outcomes.

Addressing the Challenges

Despite SCS being a minimally invasive and FDA-approved treatment, 30-40% of procedures fail to provide optimal relief due to challenges in patient selection and treatment customization.

Key statistics:

• Although these numbers have improved recently with the advent of new waveforms, explant rates hover around 10%, and failure rates are estimated at 25-30%.
• SCS has a failure rate between 30-40%, meaning a significant number of patients do not experience optimal relief.

Benefits of Personalized Treatment

1. Improved Outcomes By aligning treatments with patient-specific factors, we aim to increase the success rate of SCS.
2. Cost Savings Predictive approaches reduce failed procedures, leading to significant savings for both patients and the healthcare system.
   • By improving patient selection, we aim to reduce the number of failed procedures, leading to substantial cost savings for the healthcare system.
3. Precision Care Leveraging machine learning, the model fine-tunes patient selection, ensuring personalized solutions that yield better results.

Why It Matters

MyndTec’s predictive SCS solution addresses the pressing need for non-opioid, personalized treatments for chronic pain. By harnessing data-driven insights, this approach not only improves patient outcomes but also positions healthcare systems to operate more efficiently.

MyndTec’s Personalized SCS Solutions can make a difference in chronic pain management. With a focus on predictive analytics and tailored care, we are leading the way in revolutionizing healthcare.

Stay tuned for more developments.

Reference

1. Centers for Disease Control and Prevention. (2020). Chronic pain statistics. Retrieved from https://www.cdc.gov/chronicpain/data/index.html
2. Deer, T. R., et al. (2019). Outcomes of spinal cord stimulation in chronic pain management. Neurosurgery, 84(1), 217-226. doi:10.1093/neuros/nyy065
3. Mueller, S., et al. (2013). Individual variability in brain structure and function: Implications for personalized treatment. eLife, 2, e01252. doi:10.7554/eLife.01252
4. Grand View Research. (2024). Non-pharmacological treatments in pain management. Retrieved from https://www.grandviewresearch.com/industry-analysis/non-pharmacological-treatments-pain-management
5. Gee, L., et al. (2019). Spinal cord stimulation for chronic pain reduces opioid use and results in superior outcomes without opioids. Neurosurgery, 84(1), 217-226. doi:10.1093/neuros/nyy065