6 Result(s)
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Article
Open AccessA fully automated and explainable algorithm for predicting malignant transformation in oral epithelial dysplasia
Oral epithelial dysplasia (OED) is a premalignant histopathological diagnosis given to lesions of the oral cavity. Its grading suffers from significant inter-/intra-observer variability, and does not reliably ...
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Article
Open AccessAI-enabled routine H&E image based prognostic marker for early-stage luminal breast cancer
Breast cancer (BC) grade is a well-established subjective prognostic indicator of tumour aggressiveness. Tumour heterogeneity and subjective assessment result in high degree of variability among observers in B...
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Open AccessEvaluation of tumour infiltrating lymphocytes in luminal breast cancer using artificial intelligence
Tumour infiltrating lymphocytes (TILs) are a prognostic parameter in triple-negative and human epidermal growth factor receptor 2 (HER2)-positive breast cancer (BC). However, their role in luminal (oestrogen r...
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Open AccessBiomarkers for site-specific response to neoadjuvant chemotherapy in epithelial ovarian cancer: relating MRI changes to tumour cell load and necrosis
Diffusion-weighted magnetic resonance imaging (DW-MRI) potentially interrogates site-specific response to neoadjuvant chemotherapy (NAC) in epithelial ovarian cancer (EOC).
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Article
Open AccessUnmasking the immune microecology of ductal carcinoma in situ with deep learning
Despite increasing evidence supporting the clinical relevance of tumour infiltrating lymphocytes (TILs) in invasive breast cancer, TIL spatial variability within ductal carcinoma in situ (DCIS) samples and its...
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Article
Geospatial immune variability illuminates differential evolution of lung adenocarcinoma
Remarkable progress in molecular analyses has improved our understanding of the evolution of cancer cells toward immune escape1–5. However, the spatial configurations of immune and stromal cells, which may shed l...
