Pathology

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

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Intrinsic DNA sequence determinants and tissue-specific regulation of human replication origins

The accurate duplication of the genome relies on the spatiotemporal control of DNA replication initi...

Morphology-Aware Profiling of Highly Multiplexed Tissue Images using Variational Autoencoders

Spatial proteomics (highly multiplexed tissue imaging) provides unprecedented insight into the types...

DTCFinder: a bench-to-bits toolkit for label-free, whole-spectrum analysis of disseminated and circulating tumor cells in liquid biopsies

Disseminated (DTCs) and circulating tumor cells (CTCs) are rare but pivotal in understanding cancer ...

Spatially distinct chromatin compaction states predict neoadjuvant chemotherapy resistance in Triple Negative Breast Cancer

Organisation and dynamics of chromatin play a key role in regulation of cell state and function. In ...

Pseudodynamics+: Reconstructing Population Dynamics from Time-Resolved Single Cell Landscapes with Physics Informed Neural Networks

Single-cell profiling provides snapshots of the heterogeneous states that characterise developmental...

Cryogenic 3D electron microscopy captures whole plant cell native ultrastructure

Volume electron microscopy (vEM) provides nanometer-scale, 3D imaging of cells, but applying it to p...

FMAGJ: Fluorescence Microscopic Astrocyte Gap Junction Images Dataset

This work introduces a novel and specialized dataset of high-resolution fluorescence microscopic ima...

Exploiting pair correlation function to describe biological tissue structure

Multiplexed imaging technologies now enable the simultaneous profiling of hundreds to thousands of m...

Inferring spatial gene expression from tissue images using large-scale histology foundation model with SpaFoundation

Spatial transcriptomics (ST) has revolutionized biological research by enabling the joint profiling ...

Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology

Deep learning can extract predictive and prognostic biomarkers from histopathology whole slide image...

SpaCEy: Discovery of Functional Spatial Tissue Patterns by Association with Clinical Features Using Explainable Graph Neural Networks

Tissues are complex ecosystems tightly organized in space. This organization influences their functi...

Query-driven generative AI synthesizes multi-modal spatial omics from histology

Spatial omics technologies offer unprecedented insights into the cellular organization of tissues; h...

Modeling patient tissues at molecular resolution with Eva

Tissue structure is essential to function and homeostasis in all organs, and disruptions to structur...

Temporal Dynamics of High-Frequency Oscillations in Alzheimer’s Disease: A Longitudinal Study in hAPP-J20 Mice

Alzheimer’s disease (AD) is characterized by progressive cognitive decline and increased seizure sus...

EMCF ecosystem: Towards pretrained foundation model for electron microscopy image analysis

Volume electron microscopy (vEM) enables nanoscale visualization of three-dimensional (3D) cellular ...

Machine learning models for tuberculous pleural effusion diagnosis in Africa setting

Traditional diagnostic methods for Tuberculous pleural effusion (TPE) are often limited by their inv...

Fusing Data from CT Deep Learning, CT Radiomics and Peripheral Blood Immune profiles to Diagnose Lung Cancer in Symptomatic Patients

Lung cancer is the leading cause of cancer-related deaths. Diagnosis at late stages is common due to...

Multi-resolution vision transformer model for skin cancer subtype classification using histopathology slides

Digital pathology has significantly advanced cancer diagnosis by enabling high-resolution visualisat...

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