Deep Learning-based Drug Response Prediction for Personalized Medicine: Implementing deep learning models to predict individual patient responses to different drugs for personalized treatment planning

Abstract

Personalized medicine aims to tailor medical treatment to the individual characteristics of each patient. One of the key aspects of personalized medicine is predicting how a patient will respond to a particular drug. This paper explores the use of deep learning models for predicting individual patient responses to different drugs. We present a comprehensive review of the existing literature on drug response prediction and discuss the challenges and opportunities in this field. We then propose a novel deep learning approach for drug response prediction and evaluate its performance on a real-world dataset. Our results demonstrate that deep learning models can effectively predict individual drug responses, paving the way for personalized treatment planning in medicine.