What Technologies Are Utilized in Big Data Analytics for Cancer?
Several technologies play a critical role in the application of big data analytics to cancer research and treatment:
Machine Learning and Artificial Intelligence: These technologies are used to build models that can predict cancer progression, treatment responses, and patient outcomes. Cloud Computing: Provides the necessary computational resources and storage capabilities to manage and analyze large datasets. Genomic Sequencing: Advances in sequencing technologies generate vast amounts of genetic data that can be analyzed to understand cancer biology. Natural Language Processing (NLP): Helps in extracting valuable information from unstructured data sources like clinical notes and research papers.
