Editorial

Abstract

This special section gives the opportunity to know recent advances in the application of intelligent optimization algorithms in genomics and precision medicine. Precision medicine is designed to optimize the pathway for diagnosis, therapeutic intervention, and prognosis by using multidimensional biological datasets that capture individual variability in genes, function, and environment. Recent advances in -omics technologies provide substantial novel opportunities to study and/or identify biomarkers of chronic diseases by interpreting multi-omics data, including transcriptomics, epigenomics, genomics, and proteomics, that, together may improve understanding of precision medicine. Precision medicine is drugs or treatments designed for small groups, rather than large populations, based on characteristics, such as medical history, genetic makeup, and data recorded by wearable devices. The use of genomic data can support precision medicine to enable clinicians to predict the most appropriate course of action quickly, efficiently, and accurately for a patient. This offers clinicians the opportunity to tailor early interventions to each patient more carefully.