Integration of Ultrafast Laser Therapy and MicroRNA (miRNA)-Based Precision Medicine for Chronic Pain Management in Kyrgyzstan: A Long One Year Multi-Regional Study with Advanced Mathematical and Scientific Modeling


Authors : Dr. Nabin Kumar Yadav; Dr. Mohammad Ahamadullah; Dr. John Bennet Benny; Dr. Bibha Yadav; MD Saim Hayat; Adeeba Altaf; MM Shayer Shahriar

Volume/Issue : Volume 10 - 2025, Issue 4 - April

Google Scholar : https://tinyurl.com/4kcyftw3

DOI : https://doi.org/10.38124/ijisrt/25apr2170

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Abstract : This study proposes a new modality of ultrafast laser therapy and microRNA (miRNA)-based personalized therapy for managing chronic pain, with a target for optimized efficacy in Kyrgyzstan. With cutting-edge bioinformatics, laser technology, and genetic analysis, the work compares efficacy of such a dual modality therapy in seven regions, in terms of demographics, working profiles, and access to care in each region. With high-facilitated mathematics and algorithms, therapy protocols for individual therapy for optimized pain, reduced addiction to opioids, and with multi- dimensional factors in managing chronic pain, individual therapy protocols become a necessity. With a 5,000-patient cohort, the work reveals a high 78% improvement in pain, translating to a 42% improvement in patient outcomes. Efficacy is age-dependent, occupations-dependent, and geographical locations-dependent, and localized, fact-dependent interventions become important. With a new modality, a model for a technology-intensive, personalized, and scalable model for managing chronic pain with a target for individualized care and high-tech integration for optimized patient care and reduced use of conventional killers comes into consideration.

Keywords : Chronic Pain Management, Ultrafast Laser Therapy, MicroRNA (miRNA), Precision Medicine, Kyrgyzstan, Pain Relief, Genetic Analytics, Bioinformatics, Opioid Dependency Reduction, Pain Pathways, Personalized Therapy, Regional Analysis, Treatment Efficacy, Predictive Algorithms, Laser Physics, Non-Opioid Therapies, Pain Mitigation, Advanced Healthcare Solutions, Computational Modeling, Neural Tissue Regeneration.

References :

  1. Bioinformatics databases, and Kyrgyzstan’s hospitals &healthcare system reports
  2. Kyrgyzstan Ministry of Health. (2021). Annual Report on Healthcare Services and Chronic Pain Management in Kyrgyzstan. Bishkek, Kyrgyzstan. Retrieved from www.moh.kg
  3. Dahan, A., & Liem, I. S. (2022). "Advancements in pain management: The role of microRNA in chronic pain therapies." Pain Management, 23(4), 315-327. doi:10.1016/j.pain.2022.05.014
  4. Zhang, Y., et al. (2023). "Ultrafast laser therapy in the treatment of chronic pain: Clinical findings and molecular mechanisms." Journal of Pain Research, 16(7), 507-520. doi:10.2147/JPR.S364829
  5. Kurt, T. F., & Prasad, N. (2023). "Integrating artificial intelligence into pain management: Optimizing therapeutic approaches." Artificial Intelligence in Medicine, 55(3), 89-101. doi:10.1016/j.artmed.2023.05.009
  6. 6.World Health Organization (WHO). (2022). Pain Management and Palliative Care in Kyrgyzstan: A National Health Policy Overview. WHO Regional Office for Europe. Retrieved from www.euro.who.int
  7. 7.Wang, J., et al. (2022). "The role of ultrafast laser treatment in chronic pain management: A systematic review." Neurosurgery, 51(5), 402-415. doi:10.1227/NEU.0000000000003324
  8. 8.Anderson, D., & Webb, J. (2022). "Regional disparities in healthcare access and pain management in Central Asia." Health Policy and Planning, 37(2), 180-191. doi:10.1093/heapol/czab12

This study proposes a new modality of ultrafast laser therapy and microRNA (miRNA)-based personalized therapy for managing chronic pain, with a target for optimized efficacy in Kyrgyzstan. With cutting-edge bioinformatics, laser technology, and genetic analysis, the work compares efficacy of such a dual modality therapy in seven regions, in terms of demographics, working profiles, and access to care in each region. With high-facilitated mathematics and algorithms, therapy protocols for individual therapy for optimized pain, reduced addiction to opioids, and with multi- dimensional factors in managing chronic pain, individual therapy protocols become a necessity. With a 5,000-patient cohort, the work reveals a high 78% improvement in pain, translating to a 42% improvement in patient outcomes. Efficacy is age-dependent, occupations-dependent, and geographical locations-dependent, and localized, fact-dependent interventions become important. With a new modality, a model for a technology-intensive, personalized, and scalable model for managing chronic pain with a target for individualized care and high-tech integration for optimized patient care and reduced use of conventional killers comes into consideration.

Keywords : Chronic Pain Management, Ultrafast Laser Therapy, MicroRNA (miRNA), Precision Medicine, Kyrgyzstan, Pain Relief, Genetic Analytics, Bioinformatics, Opioid Dependency Reduction, Pain Pathways, Personalized Therapy, Regional Analysis, Treatment Efficacy, Predictive Algorithms, Laser Physics, Non-Opioid Therapies, Pain Mitigation, Advanced Healthcare Solutions, Computational Modeling, Neural Tissue Regeneration.

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