The Emergence and Impact of Artificial Intelligence in Biotechnology
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Submitted
17 August 2023
Published
30 April 2024
Keywords:
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Role of AI in Biotechnology, Implication of AI in BIotechnology, AI Advancements in Biological Sciences Peran AI di Bioteknologi, Implikasi AI di Bioteknologi, Kemajuan AI dalam Ilmu Biologi
Abstract
Introduction: Artificial intelligence (AI) has transformed many fields, including biotechnology. In recent years, artificial intelligence (AI) has played a critical role in altering research, drug development, genetic analysis, customized treatment, and other fields. The purpose of this review article is to investigate the numerous uses of AI in biotechnology, focusing on its impact on accelerating scientific advancement, improving data analysis, and driving innovation in the field. Method: Various AI approaches and methodologies used in biotechnology will be explored, including machine learning, deep learning, natural language processing, and picture identification. Results: This essay will also address important problems, future potential and ethical concerns regarding the use of AI in biotechnology. Conclusion: The integration of AI in biotechnology has redefined research paradigms, data analysis, and decision-making processes.
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References
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Dabdoub, Fatema, Colangelo, Margaretta, & Aljumah, M. (2022). Artificial intelligence in healthcare and biotechnology: a review of the Saudi experience. J Artif Intell Cloud Comput, 107, 2-6.
Dlamini, Zodwa, Francies, Flavia Zita, Hull, Rodney, & Marima, Rahaba. (2020). Artificial intelligence (AI) and big data in cancer and precision oncology. Computational and structural biotechnology journal, 18, 2300-2311.
Forghani, Reza, Savadjiev, Peter, Chatterjee, Avishek, Muthukrishnan, Nikesh, Reinhold, Caroline, & Forghani, Behzad. (2019). Radiomics and artificial intelligence for biomarker and prediction model development in oncology. Computational and structural biotechnology journal, 17, 995.
Harari, Yuval Noah. (2018). Why technology favors tyranny. The Atlantic, 322(3), 64-73.
Harfouche, Antoine L, Jacobson, Daniel A, Kainer, David, Romero, Jonathon C, Harfouche, Antoine H, Mugnozza, Giuseppe Scarascia, . . . Altman, Arie. (2019). Accelerating climate resilient plant breeding by applying next-generation artificial intelligence. Trends in biotechnology, 37(11), 1217-1235.
Ji, Li, Paul, Puja, Shanbhag, Bhuvana K, Dixon, Ian, Kuang, Shibo, & He, Lizhong. (2022). Emerging application of hydrocyclone in biotechnology and food processing. Separation and Purification Technology, 122992.
Jindal, Sahil, Sharma, Archit, Joshi, Akanksha, & Gupta, Muskan. (2021). Artificial intelligence fuelling the health care. Paper presented at the Mobile Radio Communications and 5G Networks: Proceedings of MRCN 2020.
Johnson, Prince Chacko, Laurell, Christofer, Ots, Mart, & Sandström, Christian. (2022). Digital innovation and the effects of artificial intelligence on firms’ research and development–Automation or augmentation, exploration or exploitation? Technological Forecasting and Social Change, 179, 121636.
Kumar, Roshan, & Saha, Purabi. (2022). A review on artificial intelligence and machine learning to improve cancer management and drug discovery. International Journal for Research in Applied Sciences and Biotechnology, 9(3), 149-156.
Levin, Jeremy M, Oprea, Tudor I, Davidovich, Sagie, Clozel, Thomas, Overington, John P, Vanhaelen, Quentin, . . . Zhavoronkov, Alex. (2020). Artificial intelligence, drug repurposing and peer review. Nature Biotechnology, 38(10), 1127-1131.
Li, Haining, Chiang, Austin WT, & Lewis, Nathan E. (2022). Artificial intelligence in the analysis of glycosylation data. Biotechnology Advances, 60, 108008.
Massabni, Antonio Carlos, & da Silva, Gilson José. (2019). Biotechnology and Industry 4.0: The professionals of the future. International Journal of Advances in Medical Biotechnology-IJAMB, 2(2), 45-53.
Melkozernov, Alexander N, & Sorensen, Vibeke. (2021). What drives bio-art in the twenty-first century? Sources of innovations and cultural implications in bio-art/biodesign and biotechnology. AI & SOCIETY, 36, 1313-1321.
Oliveira, Arlindo L. (2019). Biotechnology, big data and artificial intelligence. Biotechnology journal, 14(8), 1800613.
Richardson, Lauren C, Connell, Nancy D, Lewis, Stephen M, Pauwels, Eleonore, & Murch, Randy S. (2019). Cyberbiosecurity: a call for cooperation in a new threat landscape. Frontiers in bioengineering and biotechnology, 7, 451363.
Riordon, Jason, Sovilj, Dušan, Sanner, Scott, Sinton, David, & Young, Edmond WK. (2019). Deep learning with microfluidics for biotechnology. Trends in biotechnology, 37(3), 310-324.
Saheb, Tahereh, Saheb, Tayebeh, & Carpenter, David O. (2021). Mapping research strands of ethics of artificial intelligence in healthcare: a bibliometric and content analysis. Computers in Biology and Medicine, 135, 104660.
Shah, Pratik, Kendall, Francis, Khozin, Sean, Goosen, Ryan, Hu, Jianying, Laramie, Jason, . . . Schork, Nicholas. (2019). Artificial intelligence and machine learning in clinical development: a translational perspective. NPJ digital medicine, 2(1), 69.
Zare Harofte, Samaneh, Soltani, Madjid, Siavashy, Saeed, & Raahemifar, Kaamran. (2022). Recent advances of utilizing artificial intelligence in Lab on a chip for diagnosis and treatment. Small, 18(42), 2203169.
Authors
Ali, J. (2024). The Emergence and Impact of Artificial Intelligence in Biotechnology. BIOEDUSCIENCE, 8(1), 116–127. https://doi.org/10.22236/jbes/12578
This work is licensed under a Creative Commons Attribution 4.0 International License.