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<article>
<title><b>Artificial intelligence in bioinformatics</b></title>
<authors>R. K. Yelutala</authors>
<keywords>AI, bioinformatics, data, role, importance</keywords>
<pages>15-16</pages>
<issue_number>Volume 1 (2)</issue_number>
<issue_period>March,  2025</issue_period>
<abstract>AI in bioinformatics uses machine learning (ML) and deep learning (DL) to analyze vast biological datasets, accelerating discoveries in genomics, drug design, and personalized medicine by finding patterns, predicting structures (like proteins), classifying data, and automating complex tasks, transforming traditional research into data-driven, scalable, and efficient processes. It tackles challenges like interpreting genomic sequences, understanding protein functions, predicting disease pathways, and improving clinical decision support, making it crucial for modern biology and healthcare.</abstract>
</article>
