ROLE OF ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY

Abstract

Artificial intelligence (AI) has emerged as a powerful tool in various fields, including biotechnology. In recent years, AI techniques such as machine learning, deep learning, and natural language processing have been increasingly applied to solve complex problems in biotechnology. This paper provides a comprehensive review of the current state of AI in biotechnology, focusing on its applications, challenges, and future perspectives. We discuss various applications of AI in biotechnology, including drug discovery and development, protein engineering, genomics, personalized medicine, and synthetic biology. We also highlight the challenges associated with the integration of AI into biotechnology, such as data quality, interpretability, and ethical considerations. Finally, we present future perspectives on the role of AI in shaping the future of biotechnology, including the potential for AI to revolutionize drug discovery, accelerate personalized medicine, and enable the design of novel biotechnological solutions to address global challenges.

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