Potential Impacts of Artificial Intelligence (AI) in Biotechnology

The impact of artificial intelligence (AI) in biotechnology has become increasingly significant, driving advancements across multiple subfields in several areas of science. The demand for faster data analysis, integration of extensive databases, pattern recognition, problem solving, and even hypothe...

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Published inApplied sciences Vol. 14; no. 24; p. 11801
Main Authors Gomes, Alexandrina, Gonçalves, Beatriz, Inglês, Bruno, Silvério, Sara, Pinto, Carlos A., Saraiva, Jorge A.
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.12.2024
Subjects
Agricultural biotechnology
Anticoagulants
Artificial intelligence
Aspirin
Biotechnology
Computational linguistics
Data analysis
Digital literacy
environment
health
industry
Information management
Language processing
machine learning
Natural language interfaces
Neural networks
Problem solving
Robotics
Social aspects
United States
Online AccessGet full text
ISSN2076-3417
2076-3417
DOI10.3390/app142411801

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Abstract The impact of artificial intelligence (AI) in biotechnology has become increasingly significant, driving advancements across multiple subfields in several areas of science. The demand for faster data analysis, integration of extensive databases, pattern recognition, problem solving, and even hypothesis generation has fueled the development of AI technologies in subjects like modern biotechnology, which AI has revolutionized, where the main goal is to develop new advanced products and technologies through the manipulation of biological organisms. The main impacts of AI observed in biotechnology are focused on four colors of biotechnology: green (agricultural sector); red (health sector); white (industries); and blue (marine sector). Numerous AI tools have been developed and made freely available, significantly reducing researchers’ workloads. However, the application of AI in biotechnology also raises questions that must be addressed. This review exhibits and discusses the impacts of AI on biotechnology, the advantages and disadvantages of its current presence, and the potential ethical issues and social impacts.
AbstractList The impact of artificial intelligence (AI) in biotechnology has become increasingly significant, driving advancements across multiple subfields in several areas of science. The demand for faster data analysis, integration of extensive databases, pattern recognition, problem solving, and even hypothesis generation has fueled the development of AI technologies in subjects like modern biotechnology, which AI has revolutionized, where the main goal is to develop new advanced products and technologies through the manipulation of biological organisms. The main impacts of AI observed in biotechnology are focused on four colors of biotechnology: green (agricultural sector); red (health sector); white (industries); and blue (marine sector). Numerous AI tools have been developed and made freely available, significantly reducing researchers’ workloads. However, the application of AI in biotechnology also raises questions that must be addressed. This review exhibits and discusses the impacts of AI on biotechnology, the advantages and disadvantages of its current presence, and the potential ethical issues and social impacts.
Audience Academic
Author Silvério, Sara
Gomes, Alexandrina
Inglês, Bruno
Saraiva, Jorge A.
Gonçalves, Beatriz
Pinto, Carlos A.
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Snippet The impact of artificial intelligence (AI) in biotechnology has become increasingly significant, driving advancements across multiple subfields in several...
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SubjectTerms Agricultural biotechnology
Anticoagulants
Artificial intelligence
Aspirin
Biotechnology
Computational linguistics
Data analysis
Digital literacy
environment
health
industry
Information management
Language processing
machine learning
Natural language interfaces
Neural networks
Problem solving
Robotics
Social aspects
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Title Potential Impacts of Artificial Intelligence (AI) in Biotechnology
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