Tumors are heterogenous masses of cells that rapidly divide. Many cells have different mutations, functions, and ways to ...

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

A new AI tool, AAnet, has discovered five distinct cell types within tumors, offering a deeper look into cancer's inner diversity. This insight could transform how we treat cancer, enabling more ...

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

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

The AAnet AI tool uses deep learning to study gene activity in single cancer cells. It finds five different cell types within tumors, each with its own behavior and risk of spreading. This helps ...

Impact of Tumor Heterogeneity on Testing Reliability. Although ovarian cancer shows relatively limited spatial and temporal heterogeneity compared to other cancers, considerations include the ...

In a major breakthrough, a team of researchers from The City College of New York and Memorial Sloan Kettering Cancer Center ...

A recent study shows how extrachromosomal DNA contributes to tumor heterogeneity and may drive cancer progression. Skip to main content. The New England Journal of Medicine NEJM; ...

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 ...

The stock of Caris Life Sciences shined in its Nasdaq debut on Wednesday, pricing its heavily-subscribed initial public ...

High Tumor Heterogeneity Confirmed. One biopsy may not provide enough information about the array of mutations in cancer to devise treatments based on a tumor’s genetic profile.