Artificial intelligence (AI) and big data have emerged as transformative forces in cancer research and treatment. AI-driven algorithms can sift through enormous datasets, including patient health records, genetic information, and imaging data, to identify patterns and make predictions that would otherwise be difficult to detect. By leveraging big data, AI systems can pinpoint biomarkers that are crucial for early cancer detection, track the progression of disease, and suggest the most effective treatment options. Moreover, AI facilitates the development of novel drugs by predicting how compounds will interact with cancer cells. Together, AI and big data are helping to accelerate the pace of research, enhance clinical decision-making, and bring us closer to more personalized and effective cancer therapies.



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