Autoimmune Conditions and Gastric Cancer Risk in a Population-Based Study in the United Kingdom

The Relationship Between Autoimmune Diseases and Gastric Cancer Risk in the British Population Background Introduction Despite the overall incidence of gastric cancer has declined over the past few decades, the incidence of gastric cancer among young people in some Western countries has increased in recent years. This trend may be related to the in...

Comprehensive Genomic and Transcriptomic Characterization of High-Grade Gastro-Entero-Pancreatic Neoplasms

Comprehensive Genomic and Transcriptomic Characterization of High-Grade Gastro-Entero-Pancreatic Neoplasms

Research Report on Comprehensive Genomic and Transcriptomic Characteristics of High-Grade Gastro-Entero-Pancreatic Neuroendocrine Tumors Research Background High-grade gastro-entero-pancreatic neuroendocrine neoplasms (HG GEP-NENs) are a heterogeneous group of malignant tumors characterized by neuroendocrine differentiation. According to WHO 2019 [...

Outdoor Air Pollution and Risk of Incident Adult Haematologic Cancer Subtypes in a Large US Prospective Cohort

A Large Prospective Cohort Study in the United States Reveals Potential Links Between Outdoor Air Pollution and Subtypes of Adult Hematologic Cancers Background and Purpose In recent years, the impact of outdoor air pollution on human health has garnered extensive attention. Since 2013, the International Agency for Research on Cancer (IARC) has cla...

Investigating Useful Features for Overall Survival Prediction in Patients with Low-Grade Glioma Using Histology Slides

Useful Features for Overall Survival Prediction in Low-Grade Glioma Patients Academic Background Glioma is a type of neoplastic growth in the brain that usually poses a serious threat to the patients’ lives. In most cases, glioma eventually leads to the death of the patient. The analysis of glioma typically involves examining pathological slices of...

Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning

Improved Segmentation of Pediatric Low-Grade Gliomas Through Multitask Learning Background Introduction The segmentation of pediatric brain tumors is a critical task in tumor volume analysis and artificial intelligence algorithms. However, this process is time-consuming and requires the expertise of neuroradiologists. Although significant research ...

Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features from Multiparametric MRI Images

“Prediction of Glioma Grades Based on Radiomic Features Inside and Outside Tumors Using Multiparametric MRI Images” Research Background Glioma is the most common primary brain tumor in the central nervous system, accounting for 80% of adult malignant brain tumors. In clinical practice, treatment decisions often require individualized adjustments ba...