Machine learning (ML) is a subset of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. In the context of target identification and validation, ML algorithms can analyze vast datasets to uncover potential drug targets, predict their viability, and enhance the overall drug discovery process. This approach allows researchers to process complex biological information and improve the accuracy and efficiency of identifying relevant targets for therapeutic intervention.
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