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Meet Our Researchers

Leveraging AI for Radiation Oncology

 
Allen Mo, MD, PhD

Tafadzwa Chaunzwa, MD, MHS

Dr. Chaunzwa and his team will use deep learning radiomics to develop imaging-based biomarkers that identify patients with advanced non-small cell lung cancer who are unlikely to respond to immunotherapy and will need intensified treatment with stereotactic ablative radiotherapy (SABR) or chemotherapy. They aim to develop an advanced and inexpensive AI software that can improve treatment selection and outcomes for patients with lung cancer.

Allen Mo, MD, PhD

Allen Mo, MD, PhD

Dr. Mo and his team are using machine learning algorithms to aid clinical decision making for optimal treatment selection for patients with hepatocellular carcinoma (HCC). Building on prior work analyzing clinical, demographic, pathologic and radiographic features in their database of over 900 patients with HCC, Dr. Mo and mentor Rafi Kabarriti, MD, are developing decision support tools to evaluate progression free survival and risk of toxicity for patients in both the newly diagnosed and previously treated settings.