ADVANCEMENTS IN PERSONALIZED MEDICINE: TAILORING TREATMENT FOR GENETIC DIVERSITY
Keywords:
Personalized Medicine, Genetic Diversity, Genomic Data, PharmacogenomicsAbstract
Individualized medicine has become an innovative trend in the health sector, and it provides custom treatment plans depending on individuals genetic, environmental, and lifestyle variations. With the developing pace of improvements in the field of genomics and molecular diagnostics, molecular data regarding individual patients are changing the process of clinical decision-making and approaches to achieving optimal therapeutic effects. In this study, the use of genomic technologies, including next-generation sequencing (NGS), CRISPR-Cas9 gene therapy, and high-throughput genomic screening in the process of developing precision treatment approaches to complex diseases is discussed.Evidence based on genetic variants, pharmacogenomic information and actual clinical application were reviewed systematically to assess the effect of genetic-diversity on susceptibility to disease and reactions to various drugs. The research synthesizes the evidence in precision oncology, cardiovascular pharmacogenomics, management of metabolic disorders, which allows defining actionable genetic markers and demonstrating their practicality in therapy stratification.Based on such mutations as EGFR, BRCA1, and CYP2C19, the outcomes show a high rate of variability in treatment response. Interventions matched to genotype were more effective and associated with fewer adverse drug reactions generally, and when both clinical decisions and pharmacogenomic profiles were used in decision. The adoption of individualized genomic technologies has grown immensely during the last 10 years, which affirms their clinical importance. Moreover, predictive analytics based on AI showed great promise in increasing the accuracy of diagnosis and designing optimal treatment plans.To sum up, personalized medicine is the shift in a paradigm toward more preventive, predictive, and participatory medicine. Although its application is hampered by its ethicalities, integrity of data, and healthcare inequity problems, the advantage it has on patient outcomes and treatment effectiveness is significant. In further light of the role of genomic science, artificial intelligence, and regulatory conditions, the future of regional and global health systems is on the verge of being reshaped by personalized medicine.




