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Artificial intelligence (AI) and big data are increasingly becoming essential in cancer research, helping to process and analyze vast amounts of clinical, genomic, and imaging data to identify patterns and trends that would otherwise go unnoticed. AI algorithms can sift through complex datasets to recognize subtle correlations between genetic mutations, tumor behavior, and patient outcomes. This process aids in developing predictive models for better diagnostics and treatment planning. Big data, when combined with AI, accelerates drug discovery and provides insights into the optimal use of existing therapies. This synergy allows for more accurate cancer diagnoses, better predictions of treatment responses, and more efficient clinical trial designs, significantly improving cancer care.
