Pathology

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

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Deep Learning for Dermatology: An Innovative Framework for Approaching Precise Skin Cancer Detection

Skin cancer can be life-threatening if not diagnosed early, a prevalent yet preventable disease. Glo...

Balanced deep learning on multi-omics networks identifies molecular subgroups of pathological brain aging

Abstract Background Neurodegenerative diseases, including Alzheimer's disease (AD), exhibit substant...

Attachment Anchors: A Novel Framework for Laparoscopic Grasping Point Prediction in Colorectal Surgery

Accurate grasping point prediction is a key challenge for autonomous tissue manipulation in minimall...

Automated Histopathology Report Generation via Pyramidal Feature Extraction and the UNI Foundation Model

Generating diagnostic text from histopathology whole slide images (WSIs) is challenging due to the g...

AI-DRIVEN DIAGNOSIS OF NON-ALCOHOLIC FATTY LIVER DISEASE AND ASSOCIATED COMORBIDITIES

Non-alcoholic fatty liver disease (NAFLD) is a globally prevalent hepatic condition caused by the bu...

Multi-modal tissue-aware graph neural network for in silico genetic discovery

Understanding how perturbations influence gene function in a tissue-specific manner is key to uncove...

Anatolution, an online platform for consensus morphology

Introduction: Supervised statistical learning for cell-level segmentation and morphometry in optical...

3D, multi-omic imaging reveals molecular biomarkers of the pre-metastatic niche in lung cancer

The recurrence rate following complete surgical resection of primary non-small cell lung cancer is a...

Biomarker Identification in Pancreatic Cancer Through Concordant Differential Expression and Interpretable Machine Learning Analyses

Background: Pancreatic ductal adenocarcinoma is one of the most aggressive and lethal malignancies o...

Evaluating image upsampling strategies for downstream microscopy image classification

Microscopy images are frequently downsampled due to acquisition and computational constraints, requi...

Mapping the Fascicular Morphology and Organization of the Human Sciatic Nerve via High-Resolution MicroCT Imaging

Objective: Implanted neuroprostheses can restore standing and walking after spinal cord injury and s...

Towards Spatial Transcriptomics-driven Pathology Foundation Models

Spatial transcriptomics (ST) provides spatially resolved measurements of gene expression, enabling c...

High-Resolution 3D Histology of the Murine Kidney Using Synchrotron X-Ray Micro-CT

Conventional two-dimensional (2D) histology relies upon destructive sample preparation and stereolog...

Uncovering spatial tissue domains and cell types in spatial omics through cross-scale profiling of cellular and genomic interactions

Cellular identity and function are linked to both their intrinsic genomic makeup and extrinsic spati...

Amortized Reasoning Tree Search: Decoupling Proposal and Decision in Large Language Models

Reinforcement Learning with Verifiable Rewards (RLVR) has established itself as the dominant paradig...

Machine learning-guided spatial omics for tissue-scale discovery of cell-type-specific architectures

Multiplexed protein imaging enables spatially resolved analysis of molecular organization in tissues...

GAFR-Net: A Graph Attention and Fuzzy-Rule Network for Interpretable Breast Cancer Image Classification

Accurate classification of breast cancer histopathology images is pivotal for early oncological diag...

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