Large Language Models in Genomics—A Perspective on Personalized Medicine
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| Publicado en: | Bioengineering vol. 12, no. 5 (2025), p. 440 |
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| Autor principal: | |
| Otros Autores: | , , , , , , |
| Publicado: |
MDPI AG
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| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 022 | |a 2306-5354 | ||
| 024 | 7 | |a 10.3390/bioengineering12050440 |2 doi | |
| 035 | |a 3211859438 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Ali, Shahid |u School of Cyberspace Security, Hainan University, Haikou 570228, China; ali.ali.md111@gmail.com (S.A.); linzhizhe@hainanu.edu.cn (Z.L.) | |
| 245 | 1 | |a Large Language Models in Genomics—A Perspective on Personalized Medicine | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 610 | 4 | |a Food & Drug Administration--FDA | |
| 651 | 4 | |a United States--US | |
| 653 | |a Language | ||
| 653 | |a Software | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Data processing | ||
| 653 | |a Datasets | ||
| 653 | |a Precision medicine | ||
| 653 | |a Biomedical research | ||
| 653 | |a Drug development | ||
| 653 | |a Disease prevention | ||
| 653 | |a Genomics | ||
| 653 | |a Customization | ||
| 653 | |a Chatbots | ||
| 653 | |a Health care | ||
| 653 | |a Natural language | ||
| 653 | |a Accuracy | ||
| 653 | |a Large language models | ||
| 653 | |a Medical research | ||
| 653 | |a Clinical decision making | ||
| 653 | |a Genomic analysis | ||
| 700 | 1 | |a Qadri Yazdan Ahmad |u School of Computer Science and Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si 38541, Gyeongsangbuk-do, Republic of Korea; yazdan@yu.ac.kr (Y.A.Q.); swon@yu.ac.kr (S.W.K.) | |
| 700 | 1 | |a Khurshid, Ahmad |u Department of Health Informatics, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia; k.ahmad@qu.edu.sa | |
| 700 | 1 | |a Lin Zhizhe |u School of Cyberspace Security, Hainan University, Haikou 570228, China; ali.ali.md111@gmail.com (S.A.); linzhizhe@hainanu.edu.cn (Z.L.) | |
| 700 | 1 | |a Man-Fai, Leung |u School of Computing and Information Science, Anglia Ruskin University, Cambridge CB1 1PT, UK; man-fai.leung@aru.ac.uk | |
| 700 | 1 | |a Kim, Sung Won |u School of Computer Science and Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si 38541, Gyeongsangbuk-do, Republic of Korea; yazdan@yu.ac.kr (Y.A.Q.); swon@yu.ac.kr (S.W.K.) | |
| 700 | 1 | |a Vasilakos, Athanasios V |u Department of Information and Communication Technology, University of Agder, 4879 Grimstad, Norway | |
| 700 | 1 | |a Zhou, Teng |u School of Cyberspace Security, Hainan University, Haikou 570228, China; ali.ali.md111@gmail.com (S.A.); linzhizhe@hainanu.edu.cn (Z.L.) | |
| 773 | 0 | |t Bioengineering |g vol. 12, no. 5 (2025), p. 440 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3211859438/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3211859438/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3211859438/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |