AI is revolutionizing personalized cancer treatments by analyzing a patient’s genetic, molecular, and clinical data to create highly tailored therapies. With machine learning algorithms, AI can identify specific mutations in a patient’s tumor and predict which therapies will be most effective. This ensures that patients receive treatments designed to target the unique characteristics of their cancer, enhancing efficacy and minimizing unnecessary side effects. By moving away from a one-size-fits-all approach, AI allows for precision medicine, where therapies are personalized, not only improving treatment outcomes but also significantly boosting survival rates and patient quality of life.



Title : Multiplexed biosensor detection of cancer biomarkers
Michael Thompson, University of Toronto, Canada
Title : Nanomedicine in over 45,000 patients and no cancer
Thomas Jay Webster, Brown University, United States