Neural network technology is considered one of the most significant advancements in the field of artificial intelligence, and it has proven highly effective in improving many areas, including gene therapy. Neural networks are computational models designed to simulate 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 massive genetic datasets and understand how genetic changes influence various 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 used 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 determining optimal treatments based on individual patient data, contributing to personalized and highly effective medical care for each case. 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. In addition, neural networks contribute to improving the design and development of genetic medicines by enabling faster and more accurate analysis of the complex interactions between genes, environmental factors, and the patient’s biological model. When neural network technologies are integrated with other advanced techniques such as deep learning and artificial intelligence, major breakthroughs in gene therapy can be achieved. For instance, strategies for introducing modified genes into human cells can be enhanced using intelligent algorithms capable of identifying the most effective methods for delivering target genes to specific tissues. This, in turn, increases treatment effectiveness while reducing potential side effects. In conclusion, neural network technology offers limitless possibilities for advancing gene therapy. By enabling scientists to analyze genetic data more rapidly and accurately and provide personalized treatments, this technology can significantly contribute to the evolution of gene therapy, improving patients’ lives and opening new horizons for personalized medicine in the future. Al-Mustaqbal University is the first one university in Iraq.