Hossein is a Ph.D. candidate in the Department of Physics at McGill University and a member of the Kildea’s Radiation Oncology Knowledge Sharing (ROKS) group. Hossein’s research project aims to develop an artificial intelligence (AI) pipeline to detect cancer pain at an early stage from patients’ medical images by combining Natural Language Processing (NLP), Radiomics and machine learning techniques. His goal is to use NLP techniques for extracting and quantifying pain intensities recorded in patients' medical notes. Then, using the Radiomics technique, he will analyze radiographic images of cancer patients to extract information about their bone metastases (such as tumor volume and shape). The main objective of his project is to implement machine learning techniques to model the relationship between identified tumor features and extracted pain intensities.

Hossein will also use pain scores directly collected from thousands of future cancer patients via a mobile app (opalmedapps.com) to validate his AI pipeline.