Pathology

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

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Machine Learning Models Based on Histological Images from Healthy Donors Identify ImageQTLs and Predict Chronological Age

Histological images offer a wealth of data. Mining these data holds significant potential for enhanc...

SpatialFuser: A Unified Deep Learning Framework for Spatial Multi-Omics Data Integrative Analysis

Recent advances in spatial multi-omics technologies provide unprecedented opportunities to integrate...

Ultrastructural Analysis of Human Uncinate Fasciculus with Spectral-Focusing Coherent Anti-Stokes Raman Spectroscopy

Characterizing the ultrastructure of myelin in the human brain is key to understanding the neurobiol...

α-SMA/VCAM-1 Dual-Targeted Nanoplatform Improves Drug Release and Therapeutic Efficacy in Liver Fibrosis

Liver fibrosis is a progressive pathological condition characterized by hepatic stellate cell (HSC) ...

PRESTIGE-ST: Patch Resolution and Encoder STrategies for Inference of Gene Expression from Spatial Transcriptomics

Spatial Transcriptomics (ST) integrates histology with spatially resolved gene expression, offering ...

MOAST: Mechanism of Action Similarity Tool

Determining the mechanism of action (MOA) for natural products remains a significant bottleneck in d...

Mitosis Detection in the Wild Using Detection Transformers

Identification of mitotic cells and its down-stream analysis, is an important parameter in understan...

VesiclePy: A Machine Learning Vesicle Analysis Toolbox for Volume Electron Microscopy

Vesicles are critical components of neurons that package neurotransmitters and neuropeptides for the...

Imaging cellular activity simultaneously across all organs of a vertebrate reveals body-wide circuits

All cells in an animal collectively ensure, moment-to-moment, the survival of the whole organism in ...

FAST: Filamentous Actin Segmentation Tool for quantifying cytoskeletal organization

Studying how actin filaments are assembled into different subcellular structures can provide insight...

SPAGHETTI leverages massive H&E morphological models for phase contrast microscopy images with a generative deep learning approach

Phase contrast microscopy (PCM) is a powerful cell imaging method, one of the few technologies to de...

CryoPhold: CryoEM meets AlphaFold and molecular simulation to reveal protein dynamics

Here we are introducing CryoPhold, a modular workflow that unifies AlphaFold-based ensemble generati...

Exploring Augmentation-Driven Invariances for Graph Self-supervised Learning in Spatial Omics

Spatial omics technologies provide rich insights into biological processes by jointly capturing mole...

PyCLM: programming-free, closed-loop microscopy for real-time measurement, segmentation, and optogenetic stimulation

In cell biology, optical techniques are increasingly used to measure cells’ internal states (biosens...

STARNet enables spatially resolved inference of gene regulatory networks from spatial multi-omics data

Biological tissues are composed of distinct microenvironments that spatially orchestrate gene expres...

Discovery and performance of DNA methylation panels for cancer detection and classification in blood

Examining DNA in a liquid biopsy for non-invasive cancer detection relies on identifying dilute sign...

FibroTrack: A Standalone Deep Learning Platform for Automated Fibrosis Quantification in Muscle and Cardiac Histology

Accurate fibrosis quantification is essential for understanding muscle and cardiac disease, yet curr...

Fast segmentation with the NextBrain histological atlas

Structural brain analysis at the subregion level offers critical insights into healthy aging and neu...

Evaluation of Deep Learning Algorithms to Predict Multiple Dementia-Related Neuropathologies from Brain MRI, Clinical and Genetic Data

Alzheimer’s disease and related dementias (ADRD) involve overlapping neurodegenerative and vascular ...

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