Three graduate students in CSHL’s dos Santos lab have developed a tool called MaGNet to quickly measure changes in mouse mammary glands. This open-source technology can be used to study how hormonal changes affect mammary glands and may one day allow for earlier breast cancer diagnoses.

Simple quantum-classical neural networks achieve good results in classifying lesions with fewer computational parameters. Scientists from São Paulo State University demonstrated a hybrid model at an international symposium.

Researchers at the University of Vienna have developed fluorescent peptide tracers that can simultaneously visualise and activate the oxytocin receptor. This receptor–also known as the love/bonding hormone receptor–plays a key role in processes related to social behaviour, health and disease. These tracers create new possibilities for imaging and functional analysis in various biological systems–with far-reaching implications for fundamental research as well as for breast cancer diagnostics and therapy. The development of the tracers is described in the current issue of the renowned journal Angewandte Chemie, International Edition, and the tracers have recently been patented.