Machine learning (ML) algorithms are pivotal in predicting cancer outcomes, personalizing treatment plans, and uncovering new drug candidates. Techniques like supervised learning, unsupervised learning, and deep learning are employed to analyze complex datasets. For instance, ML models can predict patient survival based on histopathological images or genomic profiles, and cluster patients into subgroups for targeted therapies.
