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Taxonomy: TH- Radiobiology(RBio)/Biology(Bio): Rbio - Outcome models combining dose, imaging, radiomics/radiogenomics and clinical factors: machine learning
| PO-GeP-M-416 | Using Raman Spectroscopy and Machine Learning to Predict and Monitor Cellular Radiation Responses X Deng*, K Milligan, R Ali-Adeeb, P Shreeves, S Van Nest, J Andrews, A Brolo, J Lum, A Jirasek, University of British Columbia, Kelowna, BC, CA, University of Victoria, Victoria, BC, CA, Deeley Research Centre, BC Cancer, Victoria, BC, CA, Weill Cornell Medicine, New York, NY, USA |
| WE-CD-TRACK 2-0 | Advances of Radiomics and Genomics in Cancer Management M Giger1*, J Deasy2*, I Tai3*, F Yin4*, (1) University of Chicago, Chicago, IL, (2) Memorial Sloan Kettering Cancer Center, New York, NY, (3) BCCancer Agency At Vancouver, Vancouver, BC, CA, (4) Duke University Medical Center, Chapel Hill, NC |