Mahshid Selma Bozorgpana
About
I am a member of the interdisciplinary team working on PROPERMED (Prostate cancer - Personalized medicine powered by MRI and AI), a research initiative supported by NTNU Health. Our project's primary objective is to advance the use of AI-based decision support tools in personalized medicine for prostate cancer, bringing them closer to clinical implementation. Despite the vast potential, only a minority of AI-based solutions have been integrated into clinical practice. PROPERMED aims to bridge this gap through a comprehensive approach that involves technical AI development, prospective clinical testing, and the assessment of its societal impact. In this project, my main responsibilities involve establishing a framework for radiogenomics. This framework will link features derived from MRI scans with molecular analyses conducted on a substantial cohort of prostate cancer patients already recruited at NTNU/St. Olavs Hospital. The focus will be on extracting and combining features related to heterogeneity and inflammation, with the ultimate goal of identifying radiogenomic signatures that can effectively differentiate high- and low-risk prostate cancer cases.
Outreach
2024
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PosterBozorgpana, Selma; Desiati, Indri; Tessem, May-Britt; Elschot, Mattijs; Bathen, Tone Frost. (2024) INTEGRATING RADIOMIC FEATURES FROM mpMRI WITH CLINICAL VARIABLES TO PREDICT PROSTATE CANCER RECURRENCE. Biobank Future Health Conference , Trondheim 2024-09-12 - 2024-09-14
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LectureDesiati, Indri; Bozorgpana, Selma. (2024) Inflammatory protein signatures in prostate cancer recurrence prior to radical prostatectomy. Olink Next-Gen Proteomics Summit: Unveiling biology and decoding health and disease with multiomics , Akerhus University 2024-09-19 - 2024-09-19
2023
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PosterBozorgpana, Selma; Nketiah, Gabriel Addio; Andersen, Maria Karoline; Tessem, May-Britt; Bathen, Tone Frost. (2023) Improving Prostate Cancer Care: AI-Enhanced Integration of MRI and 'Omics' Data. PRESIMAL Autumn Research School Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2023 (PRESIMAL Autumn Research School ) , Tromsø 2023-09-13 - 2023-09-15