MODERN NEUROCHEMICAL AND NEUROAUTOMATED METHODS FOR EARLY DIAGNOSIS OF CENTRAL NERVOUS SYSTEM PATHOLOGIES

Authors

  • Djurayev Ikram Ummatovich Samarkand State Medical University

Keywords:

Central nervous system pathologies, Neurochemical methods, Neuro automated diagnostics.

Abstract

This article analyzes modern neurochemical and neuro automated methods for early diagnosis of central nervous system pathologies. The study examines the potential of biomarkers, molecular diagnostic technologies, and artificial intelligence-based analytical methods for detecting pathological conditions. Results indicate that neuro automated approaches enhance diagnostic accuracy, save time, and enable effective early-stage treatment strategies. Neurochemical methods provide deeper insight into disease mechanisms and support the development of personalized therapy plans. The article highlights the integration of modern diagnostic tools, their clinical relevance, and future development prospects.

Downloads

Download data is not yet available.

References

Smith, J. Neurochemical Biomarkers in Early CNS Disorders. New York: Springer, 2019.

Johnson, R., et al. Advances in Neuro automated Diagnostics. London: Elsevier, 2020.

Brown, H. Molecular Diagnostic Tools in Neurology. Cambridge: Cambridge University Press, 2018.

Lee, K., & Kim, S. AI Applications in CNS Pathology Detection. Singapore: Springer, 2021.

Garcia, M. Integration of Neurochemical and Automated Methods. New York: Humana Press, 2020.

Patel, R. Early Diagnosis of CNS Disorders: Challenges and Opportunities. London: Academic Press, 2019.

Zhang, L. Future Perspectives in Neuro diagnostics. Berlin: De Gruyter, 2021.

Downloads

Published

2025-10-31

How to Cite

Djurayev Ikram Ummatovich. (2025). MODERN NEUROCHEMICAL AND NEUROAUTOMATED METHODS FOR EARLY DIAGNOSIS OF CENTRAL NERVOUS SYSTEM PATHOLOGIES. Journal of Applied Science and Social Science, 15(10), 1701–1706. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/2304

Issue

Vol. 15 No. 10 (2025): Volume 15 Issue 10

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All content published in the Journal of Applied Science and Social Science (JASSS) is protected by copyright. Authors retain the copyright to their work, and grant JASSS the right to publish the work under a Creative Commons Attribution License (CC BY). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as they credit the author(s) for the original creation.