Pathology

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

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Transcriptomics-Conditioned Virtual Tissue Synthesis via Diffusion Transformers

Spatial transcriptomics couples hematoxylin and eosin (H&E) tissue morphology with spatially resolve...

Deep Learning Spatial Profiling of CD103+CD8+ T Cells and Survival in Rectal Cancer After Neoadjuvant Chemoradiotherapy

Background: CD8+ tumor-infiltrating lymphocytes (TILs) are established prognostic markers in colorec...

Whole slide image analysis of the endometrial decidual reaction reveals multiscale perturbations associated with miscarriage

The inflammatory decidual reaction renders the cycling endometrium transiently permissive for embryo...

Clinically-Grounded Counterfactual Reasoning for Medical Video Diagnosis

Medical video diagnosis involves inferring clinical decisions from dynamic tissue responses througho...

Not All Tokens Matter Equally: Dynamic In-context Vector Distillation with Decisive-Token Supervision for Long-form Medical Report Generation

Distilling demonstration effects into hidden-space interventions offers a lightweight alternative to...

A multifractal-based masked auto-encoder: an application to medical images

Masked autoencoders (MAE) have shown great promise in medical image classification. However, the ran...

Assessing Foundation Models for Computational Pathology in Endometrial Cancer

Computational pathology leverages deep learning to extract clinically relevant information from digi...

SpatialClaw: A Memory-Augmented Autonomous Ecosystem for Spatial Omics Analysis

While the expansion of spatial omics has revolutionized our ability to dissect tissue architecture, ...

Chromatin accessibility of primary cancers informs regional mutagenesis in metastases through multi-scale deep learning

Tissue-specific chromatin states shape regional mutation density in primary tumors, but whether this...

Cross-Stage Attention Multi-Expert Network for Radiologist-Inspired Breast Ultrasound Diagnosis

Breast ultrasound imaging is an important noninvasive method for early breast cancer diagnosis, but ...

Benchmarking Pathology Foundation Models for Spatial Domain Understanding

Pathology foundation models (PFMs) have emerged as a core approach for learning transferable represe...

A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation

Pathological assessment guides lung cancer diagnosis, treatment selection, and prognostic evaluation...

A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring

Light sheet fluorescence microscopy (LSM) enables high-resolution, three-dimensional (3D) imaging of...

Methodology for Creating a Clinically Verified Dermoscopic Image Dataset

This study presents a methodology for constructing a clinically verified dataset of dermatoscopic im...

Predicting Autopsy-Confirmed Neuropathology across Clinical, Neuroimaging, and CSF Biomarkers using Machine Learning

Accurate in vivo prediction of neuropathology is critical for advancing diagnosis and treatment of A...

Retrospective cohort study extracting coexisting background breast-lesion features from stage I-III invasive breast cancer

Background Background breast features are frequently noted in pathology reports alongside invasive b...

Virtual 3D H&E Staining from Phase-contrast Back-illumination Interference Tomography

Three-dimensional (3D) histopathology of unprocessed tissues has the potential to transform disease ...

DigitAb: Domain-Adaptive Cell Type Prediction Method from Light Microscopy Images

Light microscopy imaging with histological stains is central to disease diagnosis and research. It i...

Non-invasive Transcriptomic Cell Profiling of the Human Endometrium with Generative Deep Learning

Background Delineating the cellular origins of extracellular vesicles (EVs) enables the detection of...

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