The research projects of the AI for Oncology Lab to the improve cancer diagnostics and treatment.
Breast MRI is the most sensitive technique for breast cancer detection available. However, the costs and availability of MRI scanners limit its use. We develop algorithms for the automatic interpretation and acceleration of breast MRI.
Medical imaging is the cornerstone of modern medicine. We build deep learning algorithms to reconstruct the measured machine data to an image of the patient anatomy.
Immunotherapy is a systemic cancer treatment that exploits the power of the body’s immune system to fight cancer cells by boosting the immune response. We develop algorithms to predict immunotherapy outcomes.
AI enables new diagnostic and treatment paradigms. However, its application to oncology brings many questions and challenges. Inspired by the oncological application, we research and develop new AI methodologies.
An accurate risk assessment of breast cancers or their precursors is paramount to deciding on the appropriate treatment regime.
