Large Language Models in Genomics—A Perspective on Personalized Medicine
Integrating artificial intelligence (AI), particularly large language models (LLMs), into the healthcare industry is revolutionizing the field of medicine. LLMs possess the capability to analyze the scientific literature and genomic data by comprehending and producing human-like text. This enhances...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/12/5/440 |
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| author | Shahid Ali Yazdan Ahmad Qadri Khurshid Ahmad Zhizhe Lin Man-Fai Leung Sung Won Kim Athanasios V. Vasilakos Teng Zhou |
| author_facet | Shahid Ali Yazdan Ahmad Qadri Khurshid Ahmad Zhizhe Lin Man-Fai Leung Sung Won Kim Athanasios V. Vasilakos Teng Zhou |
| author_sort | Shahid Ali |
| collection | DOAJ |
| description | Integrating artificial intelligence (AI), particularly large language models (LLMs), into the healthcare industry is revolutionizing the field of medicine. LLMs possess the capability to analyze the scientific literature and genomic data by comprehending and producing human-like text. This enhances the accuracy, precision, and efficiency of extensive genomic analyses through contextualization. LLMs have made significant advancements in their ability to understand complex genetic terminology and accurately predict medical outcomes. These capabilities allow for a more thorough understanding of genetic influences on health issues and the creation of more effective therapies. This review emphasizes LLMs’ significant impact on healthcare, evaluates their triumphs and limitations in genomic data processing, and makes recommendations for addressing these limitations in order to enhance the healthcare system. It explores the latest advancements in LLMs for genomic analysis, focusing on enhancing disease diagnosis and treatment accuracy by taking into account an individual’s genetic composition. It also anticipates a future in which AI-driven genomic analysis is commonplace in clinical practice, suggesting potential research areas. To effectively leverage LLMs’ potential in personalized medicine, it is vital to actively support innovation across multiple sectors, ensuring that AI developments directly contribute to healthcare solutions tailored to individual patients. |
| format | Article |
| id | doaj-art-4a2f7e04386c421f9f41c2c9dd83e299 |
| institution | OA Journals |
| issn | 2306-5354 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj-art-4a2f7e04386c421f9f41c2c9dd83e2992025-08-20T01:56:17ZengMDPI AGBioengineering2306-53542025-04-0112544010.3390/bioengineering12050440Large Language Models in Genomics—A Perspective on Personalized MedicineShahid Ali0Yazdan Ahmad Qadri1Khurshid Ahmad2Zhizhe Lin3Man-Fai Leung4Sung Won Kim5Athanasios V. Vasilakos6Teng Zhou7School of Cyberspace Security, Hainan University, Haikou 570228, ChinaSchool of Computer Science and Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si 38541, Gyeongsangbuk-do, Republic of KoreaDepartment of Health Informatics, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi ArabiaSchool of Cyberspace Security, Hainan University, Haikou 570228, ChinaSchool of Computing and Information Science, Anglia Ruskin University, Cambridge CB1 1PT, UKSchool of Computer Science and Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si 38541, Gyeongsangbuk-do, Republic of KoreaDepartment of Information and Communication Technology, University of Agder, 4879 Grimstad, NorwaySchool of Cyberspace Security, Hainan University, Haikou 570228, ChinaIntegrating artificial intelligence (AI), particularly large language models (LLMs), into the healthcare industry is revolutionizing the field of medicine. LLMs possess the capability to analyze the scientific literature and genomic data by comprehending and producing human-like text. This enhances the accuracy, precision, and efficiency of extensive genomic analyses through contextualization. LLMs have made significant advancements in their ability to understand complex genetic terminology and accurately predict medical outcomes. These capabilities allow for a more thorough understanding of genetic influences on health issues and the creation of more effective therapies. This review emphasizes LLMs’ significant impact on healthcare, evaluates their triumphs and limitations in genomic data processing, and makes recommendations for addressing these limitations in order to enhance the healthcare system. It explores the latest advancements in LLMs for genomic analysis, focusing on enhancing disease diagnosis and treatment accuracy by taking into account an individual’s genetic composition. It also anticipates a future in which AI-driven genomic analysis is commonplace in clinical practice, suggesting potential research areas. To effectively leverage LLMs’ potential in personalized medicine, it is vital to actively support innovation across multiple sectors, ensuring that AI developments directly contribute to healthcare solutions tailored to individual patients.https://www.mdpi.com/2306-5354/12/5/440large language models (LLMs)artificial intelligence (AI)genomic dataprecision medicine |
| spellingShingle | Shahid Ali Yazdan Ahmad Qadri Khurshid Ahmad Zhizhe Lin Man-Fai Leung Sung Won Kim Athanasios V. Vasilakos Teng Zhou Large Language Models in Genomics—A Perspective on Personalized Medicine Bioengineering large language models (LLMs) artificial intelligence (AI) genomic data precision medicine |
| title | Large Language Models in Genomics—A Perspective on Personalized Medicine |
| title_full | Large Language Models in Genomics—A Perspective on Personalized Medicine |
| title_fullStr | Large Language Models in Genomics—A Perspective on Personalized Medicine |
| title_full_unstemmed | Large Language Models in Genomics—A Perspective on Personalized Medicine |
| title_short | Large Language Models in Genomics—A Perspective on Personalized Medicine |
| title_sort | large language models in genomics a perspective on personalized medicine |
| topic | large language models (LLMs) artificial intelligence (AI) genomic data precision medicine |
| url | https://www.mdpi.com/2306-5354/12/5/440 |
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