AI-Driven Advancements in Bioinformatics: Transforming Healthcare and Science

The field of bioinformatics now depends heavily on AI technology that will modify the current state of medical practices alongside scientific research. The sorting and analysis of large biological data sets benefit from Original Artificial Intelligence and its subcategories including machine learning and deep learning which previously struggled with data interpretation. This review evaluates the fundamental AI enabled bioinformatics approaches with their deployment for genomic and protein structure prediction and drug discovery algorithms and diagnostic solutions. Different AI models demonstrate exceptional ability to identify genetic disease-related mutations and to forecast protein structure in addition to accelerating pharmaceutical research while enhancing diagnosis reliability. Even so various issues related to data quality together with unclear model interpretability and ethical considerations persist. AI-generated bioinformatics continues to form an emerging field that holds transformative potential in the areas of precision medicine together with multiomics analyses and precision health systems. AI technology will continue to evolve in future, thus transforming bioinformatics while solving modern biological and healthcare problems.