Artificial intelligence (AI) methods have multiplied our capabilities to extract quantitative
information from digital histopathology images. AI is expected to reduce workload for human …

Methods for profiling RNA and protein expression in a spatially resolved manner are rapidly
evolving, making it possible to comprehensively characterize cells and tissues in health and …

Multiplexed immunofluorescence imaging allows the multidimensional molecular profiling of
cellular environments at subcellular resolution. However, identifying and characterizing …

While CRISPR screens are hel** uncover genes regulating many cell-intrinsic processes,
existing approaches are suboptimal for identifying extracellular gene functions, particularly …

Next-generation DNA sequencing technology has dramatically advanced clinical oncology
through the identification of therapeutic targets and molecular biomarkers, leading to the …

Proliferation is a fundamental trait of cancer cells, but its properties and spatial organization
in tumours are poorly characterized. Here we use highly multiplexed tissue imaging to …

Agent-based modelling has proven its usefulness in several biomedical projects by
explaining and uncovering mechanisms in diseases. Nevertheless, the scenarios addressed …

Comprehensive molecular landsca** studies reveal a potentially brighter future for
pancreatic ductal adenocarcinoma (PDAC) patients. Blood-borne biomarkers obtained from …

Recent advances in bulk sequencing approaches as well as genomic decoding at the single-
cell level have revealed surprisingly high somatic mutational burdens in normal tissues, as …

Intratumour heterogeneity (ITH) and tumour evolution are well‐documented phenomena in
human cancers. While the advent of next‐generation sequencing technologies has …