The immune system defines a complex network of tissues and cell types that orchestrate
responses across the body in a dynamic manner. The local and systemic interactions …

The application of single-cell molecular profiling coupled with spatial technologies has
enabled charting of cellular heterogeneity in reference tissues and in disease. This new …

Human clinical trials are important tools to advance novel systemic therapies improve
treatment outcomes for cancer patients. The few durable treatment options have led to a …

Objective The aim of the study is to assess the relationship between magnetic resonance
imaging (MRI)-based estimation of pancreatic fat and histology-based measurement of …

Pancreatic ductal adenocarcinoma (PDAC) is a deadly cancer that can develop from
pancreatic intraepithelial neoplasia (PanIN), a microscopic lesion in the pancreatic ductal …

Spatially resolved transcriptomics technologies provide high-throughput measurements of
gene expression in a tissue slice, but the sparsity of this data complicates the analysis of …

Non-negative matrix factorization (NMF) is an unsupervised learning method well suited to
high-throughput biology. However, inferring biological processes from an NMF result still …

Spatial transcriptomics (ST) assays represent a revolution in how the architecture of tissues
is studied by allowing for the exploration of cells in their spatial context. A common element …

Advancements in imaging technologies have revolutionized our ability to deeply profile
pathological tissue architectures, generating large volumes of imaging data with …

Computational methods that simulate tumors mathematically to describe cellular and
molecular interactions are emerging as promising tools to simulate the impact of therapy …