AI has the ability to revolutionize the ways in which researchers have always approached cancer through novel means of early detection, developing new treatments, and personalizing care. This session of AI Healthcare Conferences will explain how genomic, clinical, and imaging data are used through AI to reveal novel insights in cancer biology. It helps AI algorithms in detecting data patterns that are invisible to the naked human researcher’s eye and hastens the discovery of possible biomarkers, targets of therapy, and innovative approaches for treatment.

These events will take place at the International AI Healthcare Conferences and cover AI-driven innovations in cancer research, including machine learning models for predicting patient responses to different treatments and AI-enhanced imaging technologies for early cancer detection. Such uses of AI in the field include precision oncology. Here, the profile of a patient’s genes helps tailor treatment plans accordingly and in drug discovery. Speeding up the identification process of promising compounds will improve matters.

The future conferences of AI in Healthcare will focus on future developments of AI in cancer research, namely deep integration with multi-omics data, advancement of AI in clinical trials, and ethics around AI-driven oncology. Therefore, it is expected that new technologies will improve patient outcomes and transform the way cancer therapy is delivered. Researchers and clinicians, physician, scientists, and technologists with the passion for current applications of AI in cancer research and developing insights in oncology will find this talk vital.