The future of mutation detection in cancer looks promising with ongoing advancements:
Liquid Biopsies: Non-invasive tests that analyze circulating tumor DNA (ctDNA) in blood, providing real-time insights into tumor genetics. Artificial Intelligence: AI and machine learning algorithms can improve the accuracy and speed of data analysis, leading to better identification of clinically relevant mutations. Personalized Medicine: As our understanding of cancer genetics improves, treatments can be increasingly tailored to individual patients based on their unique genetic profiles.
