Gene analysis is a fundamental component of biomedical research and clinical practice, providing insights into the genetic factors influencing diseases, treatment responses, and individual variations. In recent years, the integration of artificial intelligence (AI) systems has revolutionized the field of gene analysis, enabling researchers and clinicians to unlock the vast potential hidden within genetic data. AI algorithms excel at processing large volumes of genetic information, extracting meaningful patterns, and providing accurate predictions, thereby accelerating discoveries and advancements in personalized medicine. This article provides an overview of the application of AI systems in gene analysis, highlighting their advantages, challenges, and future prospects. It explores the role of AI in data analysis, diagnostic support, and the development of predictive models for genetic diseases. Additionally, it discusses the importance of interpretability, ethical considerations, and the integration of AI with other technologies. As AI continues to evolve, it is poised to reshape the landscape of gene analysis, leading to more precise diagnoses, personalized treatments, and a deeper understanding of the complexities of the human genome.

gene analysis, artificial intelligence, precision medicine, feature extraction