Pathology

Latest AI and machine learning research in pathology for healthcare professionals.

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STODE: A Deep Generative Framework for Continuous Spatiotemporal Dynamics in Spatial Transcriptomics

Spatial transcriptomics offers detailed molecular insights but struggles to capture continuous tissu...

The influence of power-training and aging on endomysium content and fiber cross-sectional area in the human soleus muscle

The Master Athletic Laboratory Study of Intramuscular Connective Tissue (MALICoT, DRKS00015764) set ...

Deep Learning Enables Automated Segmentation and Quantification of Ultrastructure from Transmission Electron Microscopy Images

The widths of kidney glomerular basement membrane (GBM) and podocyte foot processes (FP) are essenti...

DeepPathway: Predicting Pathway Expression from Histopathology Images

Spatial transcriptomics (ST) technologies provide spatially resolved gene expression along with imag...

Fix or Freeze? Spectral Differences Arising from Tissue Preparation in Chemical Imaging

Spectrochemical imaging has emerged as a powerful, label-free modality for visualizing the bio-chemi...

Characterizing spatial functional microniches with SpaceTravLR

The advent of spatial omics has revolutionized our understanding of tissue biology; however, these t...

SAM-based Automatic Workflow for Histology Cyst Segmentation in Autosomal Dominant Polycystic Kidney Disease

Autosomal Dominant Polycystic Kidney Disease (ADPKD) is a genetic disorder characterized by the deve...

Generative cerebral vasculature visualization using spatial transcriptomic data

The brain is sustained by an intricate vascular network that provides a continuous supply of nutrien...

AnnotateAnyCell: Open-Source AI Framework for Efficient Annotation in Digital Pathology

Digital pathology has grown exponentially in recent years, which has created an urgent need for meth...

Star-Motifs: Revealing Single-Cell Spatiotypes from Routine Histology Using Star-Convex Neighborhoods

The tumor microenvironment (TME) is a dynamic interplay among cancer, immune, and stromal cells that...

PULSAR: a Foundation Model for Multi-scale and Multicellular Biology

Biology emerges from interactions across physical scales, where molecular interactions drive cellula...

The Spatial Atlas of Human Anatomy (SAHA): A Multimodal Subcellular-Resolution Reference Across Human Organs

The Spatial Atlas of Human Anatomy (SAHA) represents the first multimodal, subcellular- resolution r...

PKU tags, novel genetically encoded shape tags for cell labeling in light and electron microscopy

Distinguishing among neuronal cell types is crucial for deciphering complex neural networks and brai...

Diffusion Models vs. DCGANs for Class-Imbalanced Lung Cancer CT Classification: A Comparative Study

Effective lung cancer detection from CT scans remains critically challenged by class imbalance where...

TSProm: Deciphering the Genomic Context of Tissue Specificity

Characterizing tissue-specific (TSp) gene expression is crucial for understanding development and di...

Single recipient cell tracking of tellurium-labeled extracellular vesicle proteomes (TeLEV) identifies EV-driven immunomodulation

Extracellular vesicles (EVs) mediate tumor-immune cell communication by carrying protein cargo that ...

OS2CR-Diff: A Self-Refining Diffusion Framework for CD8 Imputation from One-Step Inference to Conditional Representation

Stain imputation in multiplex immunofluorescence (mIF) imaging addresses the challenge of missing or...

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