The Role of Artificial Intelligence in Advancing Personalized Medicine
The Role of Artificial Intelligence in Advancing Personalized Medicine
Nafiseh Salehi Kakhki,1,*
1. Department of Biology, Islamic Azad University Mashhad Branch, Iran
Introduction: Personalized medicine is a new approach in healthcare where treatments for each disease are tailored to the unique characteristics of each person, like their genetic makeup, environment, living conditions, and lifestyle. The growth of artificial intelligence (AI) has greatly enhanced this field, creating new possibilities for more accurate diagnoses and personalized treatments. AI can be very advanced in integrating into clinical practices, offering tools that can process large amounts of information and suggest treatment methods that were previously unimaginable.
Methods: This article looks at recent research on how AI is working together with personalized medicine. We did a thorough search of studies from the last ten years and chose ones that explore how AI is used in genetic analysis, predicting outcomes, and personalized treatments. We then analyzed these studies to find key trends, current challenges, and areas that need more development.
Results: Our analysis highlights surprising advances in the use of AI to personalize patient care. For example, AI-based tools are being developed to improve the accuracy of genetic risk assessments and help predict patients' response to treatment in various diseases. Machine learning algorithms are particularly effective in processing complex data sets and providing predictions that guide personalized treatment strategies. However, this field is still associated with challenges. One of the challenges we face is ensuring the interpretability of AI models and protecting ethical issues related to data privacy.
Conclusion: AI can play a crucial role in advancing personalized medicine by providing new ways to offer more effective and tailored care for patients. To make the most of AI's potential, ongoing research is needed to overcome existing obstacles and ensure these technologies benefit all patients. The future of personalized medicine will likely depend on smoothly integrating AI with traditional medical practices.