Abstract
The human genome is a rich source of information that can be leveraged for advancing personalized medicine, a medical approach tailored to an individual's genetic makeup. By examining genetic variants, gene expression, and epigenetic modifications, bioinformatics tools are crucial for understanding the genetic basis of disease and predicting individual responses to treatment. This article explores how bioinformatics is transforming personalized medicine by utilizing genomic data for the identification of disease biomarkers, the prediction of therapeutic responses, and the development of personalized treatment strategies. We also discuss the challenges and opportunities of integrating genomic data into clinical practice and highlight future directions in the field.
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