Contemporary Prognostic Signatures and Refined Risk Stratification of Gliomas: An Analysis of 4400 Tumors

Molecular Classification and Prognostic Features of Gliomas Background Introduction Glioma is the most common malignant brain tumor in adults, and its classification, risk stratification, and treatment standards have undergone significant changes in recent years. With the introduction of molecular markers, the classification system for gliomas has ...

Multimodal Deep Learning Improves Recurrence Risk Prediction in Pediatric Low-Grade Gliomas

Application of Deep Learning in Postoperative Recurrence Prediction for Pediatric Low-Grade Gliomas Background Pediatric Low-Grade Gliomas (PLGGs) are one of the most common types of brain tumors in children, accounting for 30%-50% of all central nervous system tumors in children. Although the prognosis of PLGGs is relatively favorable, the risk of...

Determining Risk Features for Medulloblastoma in the Molecular Era

Advances in Risk Stratification and Treatment Strategies for Medulloblastoma Background Medulloblastoma is a common malignant brain tumor in children, with significant differences in treatment and prognosis depending on its molecular subtypes. In recent years, advances in molecular biology have revealed that medulloblastoma can be further divided i...

Validation of a Prognostic Blood-Based Sphingolipid Panel for Men with Localized Prostate Cancer Followed on Active Surveillance

Study on a Prognostic Blood-Based Sphingolipid Panel for Men with Localized Prostate Cancer on Active Surveillance Academic Background Prostate cancer is one of the most common cancers among men globally, particularly for those with low- and intermediate-risk prostate cancer, where active surveillance (AS) has become the preferred management strate...

Medical History Predicts Phenome-Wide Disease Onset and Enables the Rapid Response to Emerging Health Threats

Using Medical Records to Predict Common Disease Incidence and Support Rapid Response to Emerging Health Threats Research Background and Motivation The COVID-19 pandemic exposed systemic issues and a lack of data-driven guidance globally, significantly affecting the identification of high-risk populations and pandemic preparedness. Assessing individ...