What is the role of machine learning in cancer research?
Machine learning is increasingly used in cancer research to analyze complex datasets and predict outcomes. Techniques such as:
- Supervised Learning: Algorithms like decision trees, support vector machines, and neural networks are used to classify patients and predict treatment responses. - Unsupervised Learning: Methods like clustering and principal component analysis help identify patterns and subtypes of cancer. - Deep Learning: Advanced neural networks that can analyze high-dimensional data, such as medical images and genomic sequences.
