Biobanks are increasingly integrating data analytics and artificial intelligence (AI) technologies to derive meaningful insights from large-scale datasets. Advanced analytics techniques, including machine learning and deep learning algorithms, are employed to analyze complex biological and clinical data, identify patterns, and discover novel biomarkers or therapeutic targets.
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