Drug Response Prediction

Drug response prediction refers to the use of computational methods to analyze multi-type data such as genes, drug structures, and medical records, in order to predict an individual's response to a specific treatment. The goal of this task is to ensure that patients receive the best therapeutic effects and minimize side effects through personalized treatment plans. Additionally, drug response prediction can accelerate the process of new drug development and improve the evaluation of drug efficacy and safety. Machine learning and deep learning technologies are the primary means to achieve this objective.