the role of artificial intelligence in advancements in genetics: a literature review and future perspectives

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 ai a key tool for processing, analyzing, and identifying the patterns related to these data. the present work focused on the role of ai in the recent developments of genetics. it examined diverse applications of ai in diagnosis, prediction of therapy responsiveness, and improvement of gene editing technologies. in the realm of diagnosing genetic diseases, ai 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 ai models may improve treatment outcomes and cut costs. ai 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 ai models, and ethical issues related to privacy and discrimination in using these technologies. the present work emphasizes the enormous potential of ai in genetics. it also pinpoints the importance of resolving challenges for more effective and equitable utilization of this technology.