The future of cancer genomics holds great promise, with ongoing research focused on identifying new genetic targets, developing innovative therapies, and improving diagnostic tools. Advances in artificial intelligence and machine learning are expected to enhance the analysis and interpretation of genomic data, leading to more precise and personalized treatment approaches. As our understanding of the genetic underpinnings of cancer continues to grow, the potential for improving patient outcomes and ultimately finding a cure becomes increasingly attainable.
