In the evolving landscape of cancer immunotherapy, tertiary lymphoid structures (TLS) have rapidly transitioned from a histological curiosity to a central mediator of anti-tumour …
Accurate risk stratification is crucial for determining the optimal treatment plan for patients with colorectal cancer (CRC). However, existing deep learning models perform poorly …
**Background**: Colorectal cancer (CRC) is the third-most common malignancy and the second-leading cause of cancer-related death worldwide. Despite considerable progress in …
This study analyzed colorectal cancers with proficient mismatch repair by immunohistochemistry but high microsatellite instability by PCR to characterize when discordance matters …
Background: Young-onset colorectal cancer (CRC), affecting individuals <50 years of age, presents a significant health threat worldwide. The molecular and clinical characteristics …
Understanding the prognosis of cancer patients is crucial for enabling precise diagnosis and treatment by clinical practitioners. Multimodal fusion models based on artificial …
The pathologists grade cancers by identifying the morphology of tumor areas, whereas this manual implementation is time-consuming and expensive. The most recent methods deploy …
The rapid development of biological and medical examination methods has vastly expanded personal biomedical information, including molecular, cellular, image, and electronic health …
**Background**: There is no clinically relevant serological marker for the early detection of oesophageal adenocarcinoma (EAC) and its precursor lesion, Barrett's oesophagus (BE). …
The Transformer architecture has demonstrated remarkable results in 3D medical image segmentation due to its capability of modeling global relationships. However, it poses a …