An Exploratory Radiomics Approach to Quantifying Pulmonary Function in CT Images

I am a current resident physician in radiation oncology and will be completing residency in June 2019. I will be starting as faculty in the Department of Radiation Oncology and in the Bakar Computational Sciences Health Institute at the University of California, San Francisco in September 2019.

Clinical trials that are currently enrolling patients include a study investigating lower doses of radiation therapy for patients with diffuse large B-cell lymphoma, with the goal of maintaining excellent tumor control but decreasing the risk of long-term side effects of treatment. I also have an interest in genetic determinants of radiation sensitivity, predictors of local recurrence after surgery for lung cancer, radiation-induced lung injury, and the role of radiation therapy in

Kyle Lafata is the Thaddeus V. Samulski Assistant Professor at Duke University in the Departments of Radiation Oncology, Radiology, Medical Physics, and Electrical & Computer Engineering. After earning his PhD in Medical Physics in 2018, he completed postdoctoral training at the U.S. Department of Veterans Affairs in the Big Data Scientist Training Enhancement Program. Prof. Lafata has broad expertise in imaging science, digital pathology, computer vision, biophysics, and