Abstract
Artificial Intelligence (AI) has revolutionized the field of bioinformatics by enhancing data interpretation, accelerating genomic analysis, and enabling predictive modeling for biological systems. With the exponential growth of biological data, traditional computational tools are no longer sufficient for extracting meaningful patterns. This paper explores how AI techniques such as machine learning, deep learning, and natural language processing are applied across key bioinformatics areas, including genomics, proteomics, drug discovery, and systems biology. It also discusses the challenges and future directions of AI integration in the bioinformatics pipeline.
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