Genomic Approaches to Drug Response Prediction

Genomic Approaches to Drug Response Prediction
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Description

Predicting individual drug responses is a cornerstone of personalized medicine, and genomic approaches offer powerful tools to achieve this goal. This book deals with the methodologies and applications of genomics in forecasting drug efficacy and safety across diverse populations. It covers techniques such as pharmacogenomic profiling, gene expression analysis, and polygenic risk scoring, which collectively contribute to a comprehensive understanding of how genetic variations impact drug responses. Designed for researchers, clinicians, and pharmaceutical scientists, it highlights the advancements in genomic technologies driving the shift towards more accurate and individualized drug therapy predictions.

Author(s) Bio

Angela Baker employs genomic approaches to predict patient responses to dermatological treatments, enhancing personalized therapy. Her research focuses on using genetic data to forecast the efficacy and safety of medications for skin conditions like acne and dermatitis. Angela has published extensively on developing predictive models that integrate genomic information into treatment planning. She also provides guidelines for clinicians to adopt genomic strategies in predicting drug responses, promoting effective and tailored dermatological care through informed treatment decisions.

9781837403370, Genomic Approaches to Drug Response Prediction, Pharmacy