Unlocking the Future for the New Data Paradigm of DNA Data Storage : An Investigative Analysis of Advancements, Challenges, Future Directions

Abstract

This research dives into the potential of DNA as a revolutionary data storage solution for the ever-growing digital age. It explores how recent advancements in synthetic biology and unconventional computing methods can be leveraged to create robust and sustainable DNA-based archives. The research investigation critically examines DNA storage's capabilities, emphasizing its efficiency, scalability, and potential to transform data management. However, it doesn't shy away from limitations, providing real-world examples to offer a balanced perspective. Ethical considerations surrounding DNA data storage are also explored, enriching the analysis and providing valuable insights for researchers and practitioners working on this groundbreaking technology. Ultimately, this research aims to contribute to the development of efficient and scalable DNA storage technology, solidifying its significance in the future of data management. Keywords: Artificial Intelligence (AI); Biomedical Engineering (BME); Data Archival; Deep Learning (DL); DNA Data Storage; Machine Learning (ML).