AI-Driven Precision Medicine: Transforming Personalized Cancer Treatment
Sohana Akter
Abstract
The advent of artificial intelligence (AI) has revolutionized the field of precision medicine, particularly in cancer treatment. AI-driven models are enabling more personalized approaches, improving diagnostic accuracy, treatment planning, and outcome predictions. By analyzing vast datasets, including genomic, clinical, and imaging data, AI can identify patterns that might go unnoticed by traditional methods, allowing for the development of tailored therapies specific to each patient’s genetic makeup and disease profile. This transformative shift is enhancing early detection, optimizing therapeutic strategies, and minimizing adverse effects, ultimately leading to more effective and individualized cancer care. As AI continues to evolve, its role in personalized oncology is expected to expand, driving advancements in both clinical practice and research.