Personalized medicine represents an advanced approach in healthcare, aiming to tailor treatments for each patient based on their biological and genetic characteristics, lifestyle, and surrounding environment. With rapid advancements in artificial intelligence technologies, it has become possible to analyze vast amounts of medical data quickly and accurately, enhancing the effectiveness of personalized medicine and making it more data-driven.<br /><br />Artificial intelligence can analyze the human genome and the patient’s medical records to detect early genetic predispositions to chronic or serious diseases, enabling preventive measures before symptoms appear. Machine learning techniques also help predict how a patient’s body will respond to different medications, aiding in selecting the most suitable treatment and avoiding side effects.<br /><br />Moreover, AI allows for highly precise analysis of medical imaging and clinical data, improving diagnostic accuracy and supporting physicians in making optimal treatment decisions. For example, intelligent algorithms can compare a new patient’s case with millions of previous cases to identify the most effective treatment plans.<br /><br />AI’s role extends beyond diagnosis and treatment; it accelerates and advances medical research through simulating clinical trials and identifying new drug targets. However, this transformation requires strong regulatory frameworks to protect data privacy and ensure ethical and transparent use of algorithms.<br /><br />Ultimately, integrating AI with personalized medicine marks a qualitative leap in healthcare, empowering patients as active partners in their treatment journey and providing physicians with precise tools to make evidence-based decisions.<br />AL Mustaqbal University the first university in Iraq.<br />