Neural network technology is considered one of the most significant advancements in the field of artificial intelligence, and it has demonstrated remarkable effectiveness in improving various domains, including gene therapy. Neural networks are computational models designed to mimic the functioning of the human brain, enabling them to process complex data and identify patterns and relationships among different variables. In the context of gene therapy, neural networks can be used to analyze vast amounts of genetic data and understand how genetic variations influence different diseases, thereby contributing to the development of precise and effective treatments. By utilizing neural networks, models can learn from genetic data and predict how genetic modifications may affect a patient's condition. For example, neural networks can be employed to identify genetic mutations that may lead to specific diseases, allowing researchers to design targeted therapies that directly address those mutations. Furthermore, this technology enhances the efficiency of selecting optimal treatments based on individual patient data, supporting the delivery of personalized and effective healthcare solutions. One of the most notable advantages of neural networks is their ability to learn autonomously and continuously improve their performance over time. As the volume of available genetic data increases, these networks can adapt and become more accurate in predicting responses to gene therapy. Moreover, neural networks facilitate the design and development of genetic medicines by enabling faster and more precise analysis of the complex interactions between genes, environmental factors, and the patient’s biological profile. When combined with other technologies such as deep learning and artificial intelligence, neural networks can drive significant breakthroughs in gene therapy. For instance, intelligent algorithms can optimize strategies for delivering modified genes into human cells by identifying the most effective methods for transporting therapeutic genes to targeted tissues. This, in turn, enhances treatment effectiveness while minimizing potential side effects. In conclusion, neural network technology offers immense potential for advancing gene therapy. By enabling scientists to analyze genetic data more rapidly and accurately and develop personalized treatment approaches, this technology can play a crucial role in the evolution of gene therapy, improving patient outcomes and opening new horizons for personalized medicine in the future. Al-Mustaqbal University is the first one university in Iraq.