Recent advancements include the development of sophisticated machine learning models like AlphaFold, which has shown remarkable accuracy in predicting protein structures. These models can help predict the structures of previously uncharacterized cancer-related proteins, providing new avenues for drug development and personalized medicine. Additionally, integration of multi-omics data (genomics, proteomics, and metabolomics) has improved the accuracy of predictions.
