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.

Abstract In the twenty-first century, there still needs more clarity on rheumatoid arthritis (RA). Rheumatoid arthritis is a widespread but heterogeneous illness with a broad range in its history, clinical symptoms, and response to therapy. It is now known that prevention of joint destruction, functional impairment, and a poor disease prognosis depends on early, correct diagnosis and starting therapy with disease-modifying drugs (DMARDs), among which methotrexate (MTX) remains the gold standard in the treatment of RA. Early rheumatoid arthritis diagnosis is crucial since it enables a speedier start to primary therapy. Pharmacogenetic and pharmacogenomic research, which aid in identifying a patient’s genetic profile, may bring personalized treatment closer to reality. Identifying disease-specific genes while the organism’s resistance to them is still intact should be made feasible by further study into RA.