Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.
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Lovat, Penny, Grant, Sydney, Andrew, Tom William, Paragh, Gyorgy, Sloan, Philip, Labus, Marie and Armstrong, Jane (2025) Combining machine learning with the immunohistochemical expression of AMBRA1 and loricrin to identify non-ulcerated AJCC stage I/II melanomas at high-risk of metastasis. Journal of Clinical Oncology, 43 (16_sup). p. 9570. ISSN 1527-7755 (Unpublished)
Ewen, Tom, Husain, Akhtar, Stefanos, Niki, Barrett, Paul, Jones, Claire, Ness, Tom, Long, Anna, Horswell, Stuart, Bosomworth, Helen, Lowenstein, Joe, Richardson, Grant, Swan, David, McConnell, Ashleigh, Rose, Aidan, Andrew, Tom, Reynolds, Nick, Malvehy, Josep, Carrera, Christina, Also, Llucia, Mailer, Sonia, Helm, Thomas, Ding, Liang, Bogner, Paul, Podlipnik, Sebastian, Puig, Susana, McArthur, Grant, Paragh, Gyorgy, Labus, Marie, Sloan, Philip, Armstrong, Jane and Lovat, Penny (2023) Validation of Epidermal AMBRA1 and Loricrin (AMBLor) as a prognostic biomarker for non-ulcerated AJCC stage I/II cutaneous melanoma. British Journal of Dermatology. ISSN 0007-0963