Several methods are employed to predict drug response, including:
1. Genomic Profiling: Analyzing the genetic mutations and alterations in a patient's cancer cells to identify potential drug targets. 2. Proteomics: Studying the protein expressions and modifications to understand how drugs can affect cellular functions. 3. Machine Learning and AI: Utilizing advanced algorithms to process large datasets and predict outcomes based on historical data and patterns. 4. Clinical Trials: Conducting rigorous trials to gather empirical data on drug efficacy and safety.