Abstract Ameloblastoma (AM) is a benign, although aggressive, epithelial odontogenic tumour originating from tooth-forming tissues or remnants. Its aetiopathogenesis remains unclear; however, molecular analysis techniques have allowed researchers to progress in understanding its genetic basis. The high frequency of BRAF p.V600E as a main driver mutation...

Abstract Background Basal differentiation in oral squamous cell carcinoma is usually detected at invasive sites. However, its significance as a prognostic value has been poorly investigated. Methods COL17 was selected as a basal differentiation marker because of its stable expression in the basal-like cells of oral squamous cell carcinoma. Sixty-five...

Abstract Background Early diagnosis in oral cancer is essential to reduce both morbidity and mortality. This study explores the use of uncertainty estimation in deep learning for early oral cancer diagnosis. Methods We develop a Bayesian deep learning model termed ‘Probabilistic HRNet’, which utilizes the ensemble MC dropout method on HRNet. Additionally,...

Journal of Oral Pathology &Medicine, Volume 53, Issue 4, Page i-iii, April 2024.

Journal of Oral Pathology &Medicine, Volume 53, Issue 4, Page 233-235, April 2024.

Abstract Background The differences between existing preclinical models and the tumor microenvironment in vivo are one of the significant challenges hindering cancer therapy development. Patient-derived tumor organoids (PDTO) can highly retain tumor heterogeneity. Thus, it provides a more reliable platform for research in tumor biology, new drug screening,...