Biotechnology and AI

  • Rajeshwari Suryakanth Nagamarpalli
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  • Rajeshwari Suryakanth Nagamarpalli

    Student at Alliance University, India

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Currently, the biotechnology industry relies heavily on data collection, filtration, analysis, and exchange. Biotechnology firms and numerous health agencies around the world maintain massive databases. Drug processing, chemical analysis of various chemicals, sequencing of RNA and DNA, enzyme studies, and other related biological processes need the strong help of computerised tools and applications to gain speed and minimise manual errors. Artificial Intelligence (AI) in biotechnology and related applications is critical for controlling biological processes, increasing drug development, managing supply chains, and managing the industry's data pool. Increased and improved predictability for both structured and unstructured data assists businesses in better managing their activities for increased efficiency and profitability. In terms of the Coronavirus pandemic, the world is currently facing an ongoing health emergency. Countries are on lockdown, economies are crashing, and all expectations are pinned on the biotechnology industry to develop a secure, successful vaccine in the shortest time possible.


Research Paper


International Journal of Law Management and Humanities, Volume 4, Issue 3, Page 4035 - 4057


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