Hanart fonds fellowship artificial intelligence in oncology

Integrating genomics and imaging for improved prostate cancer care

One in seven men is diagnosed with prostate cancer in his lifetime, but only a fraction of these tumors is aggressive and require prompt intervention. Timely and accurate diagnosis is crucial for effective treatment of aggressive prostate cancer and monitoring of low-risk prostate cancer, but this is hampered by the inadequacy of the available diagnostics based on invasive systematic biopsies. With the Hanarth fonds fellowship, Simona Turco will implement a machine learning framework integrating advanced imaging and cancer genomics to achieve non-invasive, accurate diagnosis and prognosis of prostate cancer, and ultimately improve patient outcome by personalized treatment.