Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …

The extracellular matrix (ECM) constitutes the scaffold of tissues and organs. It is a complex
network of extracellular proteins, proteoglycans and glycoproteins, which form …

Intratumor heterogeneity may result from the evolution of tumor cells and their continuous
interactions with the tumor microenvironment which collectively drives tumorigenesis …

Background & Aims Intratumor molecular heterogeneity is a key feature of tumorigenesis
and is linked to treatment failure and patient prognosis. Herein, we aimed to determine what …

COVID-19 pandemic has become a major threat to the country. Till date, well tested
medication or antidote is not available to cure this disease. According to WHO reports …

Cellular diversity in tumors is a key factor for therapeutic failures and lethal outcomes of solid
malignancies. Here, we determined the single-cell transcriptomic landscape of liver cancer …

Background Exosomes play crucial roles in regulating the crosstalk between normal and
cancer cells in the tumor microenvironment, and in regulating cancer proliferation, migration …

Background This paper aims to move the debate forward regarding the potential for artificial
intelligence (AI) and autonomous robotic surgery with a particular focus on ethics, regulation …

Objective In the tumour microenvironment, critical drivers of immune escape include the
oncogenic activity of the tumour cell-intrinsic osteopontin (OPN), the expression of …

Intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC) are clinically
disparate primary liver cancers with etiological and biological heterogeneity. We identified …