Personalized and Precision Medicine Journal

Abstract A common and incapacitating condition, chronic pain offers a difficult field of work because of its variability and response to conventional treatments. Genomic and proteomic-based personalized medicine including epigenetic and biomarker information could help to lower treatment variability, so improving diagnosis, phenotypic classification, and individualized approaches to treatment. Recent developments in genetics and pharmacogenetics of pain, pain phenotyping techniques, and the development of focused therapies including epigenetic modulators, peptides, biologics and nanomedicine are underlined in this review. Personalized medicine seeks to match every patient's individual genetic makeup to their course of treatment. It is increasingly accepted that pain chronology involves epigenetic processes, including DNA methylation and histone modifications. Furthermore discussed are the value of biomarkers in evaluating therapy response and prognosis as well as ethical, financial, and data availability-related issues. Finally, future directions involve the use of artificial intelligence mixed with multi-omics data for tailored optimal pain management. Adopting these changes can help patients to have less chronic pain and improve the therapeutic outcomes.