Precision Therapeutics

Precision medicine aims to optimize treatment efficacy & minimize adverse effects by tailoring therapies to the genetic, biological, of each patient. Pharmacogenomics-based genotype-guided medication selection and dose adjustment enhance outcomes in cardiology, cancer, psychiatry, and uncommon disorders. Finding biomarkers and creating thorough patient profiles are made easier by integrating omics such as transcriptomics, genome sequencing, and metabolomics. To enhance medication response prediction, disease risk assay, and therapy stratification, machine learning methods—including supervised, unsupervised, ensemble & deep learning analyze complicated datasets. Clinical applications include antidepressant efficacy, resistance, warfarin dosage, chemotherapy response prediction, & medication repurposing. Open databases & high-throughput sequencing facilitate data-driven decision-making.Despite progress, issues like privacy, bias, & interpretability still exist .Pharmacogenomics & machine learning offers a transformative path for personalized, safer, & effective healthcare.