Breast cancer remains a leading cause of cancer-related mortality in women, reflecting
profound disease heterogeneity, metastasis, and therapeutic resistance. Over the last …

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

The heterogeneity of the tumour immune microenvironment (TIME), organized by various
immune and stromal cells, is a major contributing factor of tumour metastasis, relapse and …

Treatment of triple-negative breast cancer (TNBC) remains challenging. Deciphering the
orchestration of metabolic pathways in regulating ferroptosis will provide new insights into …

In the past decade, substantial advances have been made in understanding the biology of
tumour-associated macrophages (TAMs), and their clinical relevance is emerging. A …

The growing availability of single-cell data, especially transcriptomics, has sparked an
increased interest in the inference of cell-cell communication. Many computational tools …

Tumor-associated macrophages (TAMs) have multiple potent functions in cancer and, thus,
represent important therapeutic targets. These diverse functions highlight the heterogenous …

Single-cell and spatial technologies that profile gene expression across a whole tissue are
revolutionizing the resolution of molecular states in clinical samples. Current commercially …

Spatial omics has been widely heralded as the new frontier in life sciences. This term
encompasses a wide range of techniques that promise to transform many areas of biology …

Spatial transcriptomics approaches have substantially advanced our capacity to detect the
spatial distribution of RNA transcripts in tissues, yet it remains challenging to characterize …