An international team of scientists has developed an artificial intelligence (AI) tool that could revolutionise cancer ...

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

New AI tool, maps cancer cell diversity into five key types, unlocking the potential for personalized treatment and improved ...

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

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

Despite advances in cancer treatment, certain forms of the disease remain stubbornly difficult to treat, particularly when they recur or spread. Researchers are now turning their attention to the ...

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

Tumor heterogeneity is increasingly recognized as a contributing factor to drug resistance. Dr. Haffner and his colleagues wanted to better understand the tumor heterogeneity and cell surface marker ...

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

The genetic makeup and structure of glioblastoma tumors can shift dramatically across different regions of a single tumor, according to a Northwestern Medicine study published in Science Advances.