AI is revolutionizing predictive analytics in cancer care, enabling clinicians to anticipate disease progression with remarkable accuracy. By analyzing patient data over time, including genetic, demographic, and treatment history, AI algorithms can identify trends that may suggest a higher likelihood of relapse or metastasis. This predictive capability allows doctors to intervene earlier and adjust treatment plans accordingly, potentially improving patient outcomes. The ability of AI to forecast disease trajectories provides oncologists with a powerful tool to optimize care and make more informed decisions about treatment strategies.



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