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Advancing Cancer Treatment Research with Artificial Intelligence



One in four Australians are diagnosed with cancer during their lives. Even when correctly diagnosed, the best cancer treatments achieve only a 48 percent success rate over three years.1

A key to better predicting patient treatment outcomes for cancer sufferers lies in finding and interpreting the patterns and genes of significance in the genomes of patients who have responded best to previous treatments.

This World Cancer Day, we’re proud to share the inspiring work that Brisbane-based machine learning consultancy, Max Kelsen, is doing with artificial intelligence (AI) to better predict patient responses to cancer treatments such as immunotherapy.

Their Immunotherapy Outcome Prediction (IOP) has the potential to change the lives of millions of cancer patients worldwide. Working alongside genomiQa, QIMR Berghofer, BGI, and QLD Health Metro North Hospital and Health Service, Max Kelsen plans to integrate AI and whole genome sequencing into cancer research and clinical practice and putting us one step closer to fully personalized, highly effective treatment plans.

Through access to Tensor Research Cloud from Google, Max Kelsen is combining whole genome analysis with AI to help predict the effectiveness of cancer treatments at scale. 

Learn more about their work, and show your support for the global community that’s leading in a fight for a cure this #WorldCancerDay.


Bristol-Myers Squibb, Phase 3 Study Evaluating Yervoy® (Ipilimumab) for Melanoma in an Adjuvant Setting Meets Primary Endpoint of Recurrence-Free Survival