Doctoral students Ziping Liu and Zitong Yu from the lab of Abhinav Jha, assistant professor of biomedical engineering at the McKelvey School of Engineering and of radiology at the School of Medicine, presented four talks on computational nuclear medicine imaging at the recent annual meeting of the Society of Nuclear Medicine and Molecular Imaging.
Each talk was highlighted in the Basic Sciences Summary session of the Physics, Instrumentation, and Data Sciences council. One abstract received a top score in the data sciences category and was considered for the selective Young Investigator Award.
These abstracts detail the lab’s research in developing medical imaging solutions that integrate physics and artificial intelligence for early prediction of therapy response in lung cancer and for measuring the severity of Parkinson’s disease. The work was the result of collaborative efforts with researchers across the departments of biomedical engineering, radiology and neurology.