University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

Identification and validation of a machine learning model of complete response to radiation in rectal cancer reveals immune infiltrate and TGFβ as key predictors

Citation

Domingo, E, Rathee, S, Blake, A, Samuel, L, Murray, G, Sebag-Montefiore, D, Gollins, S, West, N, Begum, R, Richman, S, Quirke, P, Redmond, K, Chatzipli, A, Barberis, A, Hassanieh, S, Mahmood, U, Youdell, M, McDermott, U, Koelzer, V, Leedham, S, Tomlinson, I, Dunne, P, Buffa, F M, Maughan, T S & S:CORT consortium 2024, 'Identification and validation of a machine learning model of complete response to radiation in rectal cancer reveals immune infiltrate and TGFβ as key predictors', EBioMedicine, vol. 106, 105228. https://doi.org/10.1016/j.ebiom.2024.105228

Collections

Endorsement

Review

Supplemented By

Referenced By