The most frequent adult-type primary CNS tumours are diffuse gliomas, but a large variety of
rarer CNS tumour types exists. The classification of these tumours is increasingly based on …

With biotechnological advancements, innovative omics technologies are constantly
emerging that have enabled researchers to access multi-layer information from the genome …

Even though radiomics can hold great potential for supporting clinical decision-making, its
current use is mostly limited to academic research, without applications in routine clinical …

Breast cancer heterogeneity determines cancer progression, treatment effects, and
prognosis. However, the precise mechanism for this heterogeneity remains unknown owing …

Purpose To propose a new quality scoring tool, METhodological RadiomICs Score
(METRICS), to assess and improve research quality of radiomics studies. Methods We …

Computer-extracted tumour characteristics have been incorporated into medical imaging
computer-aided diagnosis (CAD) algorithms for decades. With the advent of radiomics, an …

Molecular imaging has experienced enormous advancements in the areas of imaging
technology, imaging probe and contrast development, and data quality, as well as machine …

Advances in quantitative biomarker development have accelerated new forms of data-driven
insights for patients with cancer. However, most approaches are limited to a single mode of …

Purpose Artificial intelligence (AI) models are playing an increasing role in biomedical
research and healthcare services. This review focuses on challenges points to be clarified …

Modern medicine is reliant on various medical imaging technologies for non-invasively
observing patients' anatomy. However, the interpretation of medical images can be highly …