Advanced International Journal for Research

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Volume 7 Issue 4
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Artificial Intelligence in Biology

Author(s) Dr. Sreedevi Vakita
Country India
Abstract Artificial Intelligence (AI) has emerged as one of the most transformative technologies in modern biology, revolutionizing the way biological data are analyzed, interpreted, and applied to solve complex scientific challenges. The integration of AI with life sciences has significantly accelerated advancements in genomics, proteomics, drug discovery, precision medicine, biotechnology, agriculture, ecology, and disease diagnosis. By employing machine learning, deep learning, computer vision, natural language processing, and bioinformatics, AI enables researchers to process vast biological datasets with remarkable speed, accuracy, and efficiency. This report provides a comprehensive overview of the role of AI in biology, highlighting its principles, major applications, benefits, challenges, ethical considerations, and future prospects. It also discusses AI-driven innovations such as protein structure prediction, genome analysis, smart healthcare, precision agriculture, biodiversity conservation, and laboratory automation. While AI offers unprecedented opportunities to improve scientific research and healthcare outcomes, responsible implementation, data privacy, algorithm transparency, and ethical governance remain essential for its sustainable use. The report concludes that the successful integration of artificial intelligence with biological sciences has the potential to transform healthcare, environmental conservation, and biotechnology, making AI an indispensable tool for addressing the scientific and societal challenges of the twenty-first century.
Keywords Artificial Intelligence (AI), Biology, Machine Learning, Deep Learning, Bioinformatics, Genomics, Proteomics, Precision Medicine, Drug Discovery, Biotechnology, Healthcare, Medical Imaging, Computational Biology, Protein Structure Prediction, AlphaFold, CRISPR, Personalized Medicine, Smart Agriculture, Biodiversity Conservation, Robotics, Big Data Analytics, Natural Language Processing (NLP), Computer Vision, Laboratory Automation, Ethical AI, Sustainable Development
Field Biology
Published In Volume 7, Issue 4, July-August 2026
Published On 2026-07-08
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E-ISSN 3048-7641
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