The ability to rapidly stain for any combination of genes in intact tissue with automated quantification of transcripts in individual cells and spatial re-mapping affords new insights into lung biology, and will greatly accelerate progress in scientific and medical research.

Both human and microbe cell-free RNA features in plasma could distinguish tumors of different primary locations.

Spatial patterns of lymphoid and myeloid cells in human solid tumors differ between cancer types, yielding a new classification of anti-tumor host response.

Single-cell transcriptomic profiling and systematic analysis of pulmonary neuroendocrine cells identifies over 40 hormones and neuropeptides expressed in myriad combinations, and predicts their targets in mouse and human lung, revealing extraordinary sensory and signaling diversity and potential physiological functions.

The combination of molecular infrared fingerprinting and machine learning enables the detection of breast, bladder, prostate, and lung cancer based on liquid blood serum and plasma, providing a general framework for the minimally invasive investigation of oncological conditions.

Single-cell RNA sequencing of biopsy samples from advanced-stage lung cancer reveals tumor and immune cell features associated with response to immune checkpoint therapy.

It provides evidence for the feasibility of using combined graph convolutional neural network and transformers’ based systems with patient demographics, and CT-derived imaging features as inputs into the transformer model for survival prediction in early stage lung cancer patients.

Mitochondrial activity and distribution control alveolar formation by conferring distinct cellular properties.

An integrated stem cell-based disease modeling and computational approach demonstrates how proximal airway epithelium is critical for SARS-CoV-2 infectivity and distal alveolar cells are critical for simulating the host responses.

Multiplexing and digital analysis of melanoma tissue describe functionally the microenvironment associated with brisk/non-brisk infiltrates and expose the functional incongruences of this morphological classification currently in use for tumor-infiltrating lymphocytes.