Deep learning techniques are a powerful tool for understanding the composition of new viruses and how they affect the body. Deep learning is a branch of artificial intelligence that deals with multi-layered neural networks to interpret large and complex datasets. These techniques play a significant role in accelerating the study of viruses and developing treatments.<br /><br />When a new virus is discovered, scientists need to understand its genetic makeup and how it interacts with human cells. Deep learning techniques use genetic data and viral proteins to analyze the interactions between the virus and cells. By analyzing this data, deep learning can make predictions about how the virus will evolve, spread, and how to design drugs and vaccines against it.<br /><br />These techniques help reduce the time required to understand new viruses and provide faster insights. For example, during the COVID-19 pandemic, deep learning techniques accelerated the process of understanding the coronavirus by analyzing its genome and providing insights into how vaccines and treatments could be developed.<br /><br />With the increasing number of new viruses, using deep learning techniques to speed up understanding can improve healthcare responses to future pandemics and reduce their impacts. <br /><br />Al-Mustaqbal University is the first University in Iraq.