دوره 12، شماره 2 - ( 2-1403 )
جلد 12 شماره 2 صفحات 0-0 |
برگشت به فهرست نسخه ها
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Sefidi-Heris Y, Gholami D, khaleghinejad S H. The Role of Artificial Intelligence in Advancements in Genetics: A Literature Review and Future Perspectives. Res Mol Med (RMM) 2024; 12 (2)
URL: http://rmm.mazums.ac.ir/article-1-566-fa.html
URL: http://rmm.mazums.ac.ir/article-1-566-fa.html
The Role of Artificial Intelligence in Advancements in Genetics: A Literature Review and Future Perspectives. Research in Molecular Medicine. 1403; 12 (2)
چکیده: (346 مشاهده)
A combination of artificial intelligence (AI) and genetics has revolutionized biomedicine and pharmacology. It has opened new horizons toward analyzing complex genetic data and designing precise treatments. Significantly increasing amounts of genetic data and advancements in sequencing technologies have made artificial intelligence a key tool for processing, analyzing, and identifying the patterns related to these data. The present work focused on the role of artificial intelligence in the recent developments of genetics. It examined diverse applications of artificial intelligence in diagnosis, prediction of therapy responsiveness, and improvement of gene editing technologies. In the realm of diagnosing genetic diseases, artificial intelligence algorithms assist in the rapid and precise detection of rare diseases through analyzing genetic and clinical data. In addition, predicting responsiveness to particular treatments based on genetic data derived from predictive artificial intelligence models may improve treatment outcomes and cut costs. Artificial intelligence also plays a critical role in designing and optimizing gene editing technologies, like CRISPR, and enhances the accuracy and efficiency of these methods. However, some challenges are important, like the quality of genetic data, the complexity of artificial intelligence models, and ethical issues related to privacy and discrimination in using these technologies. The present work emphasizes the enormous potential of artificial intelligence in genetics. It also pinpoints the importance of resolving challenges for more effective and equitable utilization of this technology.
| بازنشر اطلاعات | |
 |
این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است. |
