The Role of Artificial Intelligence in Shaping Personalized Medicine

Tejavardhana Chary Vishwakarma, Apoorva Kasoju

Abstract: It has changed the system of personalized medicine, where different treatments for different patients are designed based on research statistics. Comprehensively, artificial models study various datasets such as genomics, EHR, and even comprehensive patient monitoring to enhance clinical decisions. Machine learning (ML) algorithms help diagnose diseases, predict the prognosis of illnesses, and can be instrumental in finding new treatment regimens besides saving costs in the healthcare sector. It has to be said, however, that data privacy, algorithms' bias, and legal concerns are the prominent issues that must be solved to effectively and responsibly utilize the given concept. The following paper seeks to study the use of AI in personalized medicine, including its purpose, opportunities, and disadvantages in improving treatment.

Keywords: Artificial Intelligence, Personalized Medicine, Machine Learning, Healthcare Innovation, Data Privacy

How to Cite?: Tejavardhana Chary Vishwakarma, Apoorva Kasoju, "The Role of Artificial Intelligence in Shaping Personalized Medicine", Volume 14 Issue 3, March 2025, International Journal of Science and Research (IJSR), Pages: 1356-1361, https://www.ijsr.net/getabstract.php?paperid=SR25323040214, DOI: https://dx.doi.org/10.21275/SR25323040214