A. L. Kiemen

qMAP Enabled Microanatomical Mapping of Human Skin Aging

This study introduces qMAP, a deep learning-based workflow for microanatomical mapping of human skin, identifying 10 core processes strongly associated with aging and achieving age prediction accuracy comparable to epigenetic clocks.

Engineering self-propelled tumor-infiltrating CAR T cells using synthetic velocity receptors

This paper develops velocity receptors (VRs) to enhance CAR T cell migration through solid tumors, improving tumor infiltration and survival.

Three-dimensional assessments are necessary to determine the true, spatially-resolved composition of tissues

This study shows that 3D assessments are necessary to accurately determine tissue composition and neoplastic content, as 2D methods under-sample spatial heterogeneity.

Power-law growth models explain incidences and sizes of pancreatic cancer precursor lesions and confirm spatial genomic findings

The paper uses AI-based 3D tissue mapping to show PanIN lesion sizes follow a power-law distribution and identifies growth mechanisms driving pancreatic cancer precursor lesions.

Three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions

This study uses 3D imaging and genomic analysis to show that human pancreatic precancerous lesions (PanINs) are highly multifocal and genetically heterogeneous.

PanIN and CAF Transitions in Pancreatic Carcinogenesis Revealed with Spatial Data Integration

This paper develops a new protocol for spatial transcriptomics analysis of FFPE PanIN specimens and integrates it with imaging and scRNA-seq to study the progression from PanIN to PDAC.

In situ characterization of the 3D microanatomy of the pancreas and pancreatic cancer at single cell resolution

The paper develops a method to reconstruct 3D pancreatic tissue at single-cell resolution and maps cancer invasion modes in the tumor microenvironment.