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Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database.
Lee C, Light A, Alaa A, Thurtle D, van der Schaar M, Gnanapragasam VJ. Lee C, et al. Among authors: thurtle d. Lancet Digit Health. 2021 Mar;3(3):e158-e165. doi: 10.1016/S2589-7500(20)30314-9. Epub 2021 Feb 3. Lancet Digit Health. 2021. PMID: 33549512 Free article.
Progression and treatment rates using an active surveillance protocol incorporating image-guided baseline biopsies and multiparametric magnetic resonance imaging monitoring for men with favourable-risk prostate cancer.
Thurtle D, Barrett T, Thankappan-Nair V, Koo B, Warren A, Kastner C, Saeb-Parsy K, Kimberley-Duffell J, Gnanapragasam VJ. Thurtle D, et al. BJU Int. 2018 Jul;122(1):59-65. doi: 10.1111/bju.14166. Epub 2018 Mar 8. BJU Int. 2018. PMID: 29438586
Clinical Impact of the Predict Prostate Risk Communication Tool in Men Newly Diagnosed with Nonmetastatic Prostate Cancer: A Multicentre Randomised Controlled Trial.
Thurtle D, Jenkins V, Freeman A, Pearson M, Recchia G, Tamer P, Leonard K, Pharoah P, Aning J, Madaan S, Goh C, Hilman S, McCracken S, Ilie PC, Lazarowicz H, Gnanapragasam V. Thurtle D, et al. Eur Urol. 2021 Nov;80(5):661-669. doi: 10.1016/j.eururo.2021.08.001. Epub 2021 Sep 4. Eur Urol. 2021. PMID: 34493413 Clinical Trial.
31 results