The natural history and treatment landscape of primary brain tumours are complicated by the
varied tumour behaviour of primary or secondary gliomas (high-grade transformation of low …

With the recent advancement of novel biomedical technologies such as high-throughput
sequencing and wearable devices, multi-modal biomedical data ranging from multi-omics …

Clinical decision-making in oncology involves multimodal data such as radiology scans,
molecular profiling, histopathology slides, and clinical factors. Despite the importance of …

Imaging diagnosis is crucial for early detection and monitoring of brain tumors. Radiomics
enable the extraction of a large mass of quantitative features from complex clinical imaging …

Radiological imaging techniques, including magnetic resonance imaging (MRI) and positron
emission tomography (PET), are the standard-of-care non-invasive diagnostic approaches …

Purpose How to discriminate different risks of recurrent nasopharyngeal carcinoma (rNPC)
patients and guide individual treatment has become of great importance. This study aimed to …

Survival analysis is a critical task in glioma patient management due to the inter and intra
tumor heterogeneity. In clinical practice, clinicians estimate the survival with their …

Technological advancements have enabled the extended investigation, development, and
application of computational approaches in various domains, including health care. A …

With the increasing demand for precision medicine in cancer patients, radiogenomics
emerges as a promising frontier. Radiogenomics is originally defined as a methodology for …

Integrating cross-department multi-modal data (eg, radiology, pathology, genomic, and
demographic data) is ubiquitous in brain cancer diagnosis and survival prediction. To date …