Radiomics is a rapidly evolving field of research concerned with the extraction of quantitative
metrics—the so-called radiomic features—within medical images. Radiomic features capture …

Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, typically
develops on the background of chronic liver disease and is an aggressive disease with …

Purpose: We aimed to evaluate the value of deep learning on positron emission tomography
with computed tomography (PET/CT)–based radiomics for individual induction …

It is well established that a subset of cells within primary breast cancers can undergo an
epithelial-to-mesenchymal transition (EMT), although the role of EMT in metastasis remains …

Many cancers possess an incorrect number of chromosomes, a state described as
aneuploidy. Aneuploidy is often caused by Chromosomal Instability (CIN), a process of …

Most triple negative breast cancers (TNBCs) are aggressively metastatic with a high degree
of intra-tumoral heterogeneity (ITH), but how ITH contributes to metastasis is unclear. Here …

The adipocyte-released hormone-like cytokine/adipokine leptin behaves differently in
obesity compared to its functions in the normal healthy state. In obese individuals, elevated …

Although intratumoral genomic heterogeneity can impede cancer research and treatment,
less is known about the effects of phenotypic heterogeneities. To investigate the role of cell …

Purpose To construct machine learning models for predicting progression free survival
(PFS) and overall survival (OS) with esophageal squamous cell carcinoma (ESCC) patients …

Subclonal heterogeneity and evolution are characteristics of breast cancer that play a
fundamental role in tumour development, progression and resistance to current therapies. In …