Researchers have introduced CORAL, a probabilistic deep generative model that leverages graph attention to integrate multiscale spatial transcriptomic, proteomic, metabolomic, ...
Researchers engineered an 18.8-kilodalton photoswitchable near-infrared protein, rsmiRFPnano, that enables background-free photoacoustic imaging of inflammation signaling and intracellular antigens deep ...
An explainable graph neural network called SpaCEy identifies the spatial tissue patterns and protein markers that predict cancer survival and ...
St. Jude scientists and collaborators built a comprehensive single-cell dataset and patient-derived models to identify a malignant mesenchymal cell population ...
A new review in Molecular Cancer reframes radioresistance as an ecosystem-level phenomenon in which plastic residual tumor cells survive radiation ...
A longitudinal spatial multi-omics study reveals how the tumor microenvironment in EGFR-mutant lung cancer remodels in distinct stages as patients ...
In a groundbreaking investigation into pediatric liver cancer, researchers from the Princess Máxima Center and UMC Utrecht have uncovered an ...
