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 ...

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 ...

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 ...

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

This article explores how cancer biomarkers improve early detection, guide treatments and predict outcomes to transform ...

Cancer plasticity allows tumor cells to change their identity, evade therapies, and adapt to environmental pressures, contributing to treatment resistance and metastasis. New research is targeting ...

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