Review on the Emerging role of Artificial Intelligence in Personalized and Precision Medicine

Using artificial intelligence (AI) in personalized medicine has changed healthcare by allowing for more accurate and customized treatment. AI algorithms can look at large amounts of data, find patterns, and predict what might happen, which helps in detecting diseases earlier, making treatments more effective, and improving patient results. However, when setting up AI systems, it is important to make sure they are fair and equal to prevent any biases or unfairness in medical results. Adding AI into everyday medical work needs healthcare professionals to get special training, and there should be clear rules and standers to make sure AI tools are reliable and safe. Even with these challenges, there are many opportunities for AI in personalized medicine. Newer technologies such as explainable AI and federated learning can increase transparency and teamwork. Also, combining AI with other advances like blockchain and the Internet of Medical Things can make its role in healthcare even stronger. To fully use AI in personalized medicine, we need a balanced approach that mixes technology with ethics. This involves working together across different fields, improving rules and laws, and making sure AI systems are created and used in a way that focuses on the wellbeing and safety of patients. By looking at how AI can change personalized medicine, we can open new ways to improve patient care and move the field of healthcare forward.