Unraveling tumor heterogeneity: Quantitative insights from single-cell RNA sequencing analysis in breast cancer subtypes Peer-Reviewed Publication Xia & He Publishing Inc.

A new AI tool, AAnet, has discovered five distinct cell types within tumors, offering a deeper look into cancer's inner ...

A research team led by Prof. Gu Hongcang and Zhang Fan from the Hefei Institutes of Physical Science of the Chinese Academy ...

Tumors are complex systems characterized by variations across genetic, transcriptomic, phenotypic, and microenvironmental levels.

Tumors are often genetic mosaics, harboring diverse cell populations shaped by mutations like copy number variations (CNVs). These genomic alterations ...

Professor Sa Kyung-ha's team at Korea University Medical School's medical informatics class found a new therapeutic target by ...

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI ...

Long-term antihypertensive therapy was not associated with risk for cancer, cancer-related mortality or site-specific cancers ...

STAMPEDE otherwise follows a line of randomized trials (e.g., MAST, TAXOMET, IMPROVE) that have failed to prove cancer ...

This article explores the relationship between the immune system and cancer and outlines therapeutic strategies that leverage ...