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Anatomic & Clinical Pathology
Innovations from Ohio State in Detecting and Treating Lobular Breast Cancer

New Digital Diagnostics System Demonstrates High Sensitivity in Cervical Cancer Screening

Unraveling Alzheimer’s Heterogeneity: New Study Maps Brain Pathology and Glial Activation Patterns

Neuroendocrine Differentiation in Oesophageal Adenocarcinoma: Prognostic Insights Post-Neoadjuvant Therapy

Stromal Cells May Help Predict Prostate Cancer Metastasis

Difficult Blocks and Reprocessing: What To Do When Your Block Won’t Section

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Byte-Sized Literature
TransBreast-Net: An Interpretable Vision Transformer Ensemble for Breast Cancer Histopathology Classification

Development and Validation of a Multi-Omics Model Integrating US-Derived and WSI-Based Features to Predict Lymph Node Metastasis in Ovarian Cancer: A Multi-Center Retrospective Study

Hetairos Is a Histology-based Artificial Intelligence Model for Predicting Central Nervous System Tumor Methylation Subtypes

AI-based Tumor Cellularity Assessment in Digital Pathology: A Review of Methods, Datasets, and Clinical Translation

E Pluribus Unum: The Diagnostician. Will Artificial Intelligence Prompt a Merger of Radiology and Pathology Into One Specialty?

Radiological Over and Underestimation of DCIS Extent in Breast Conserving Surgery Specimens: Radiological-pathological Correlation in Slice Radiographs and Respective Histological Large-format Slides

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Computational Pathology & AI
Is AI the Remedy for Rural Healthcare?

AI-Powered TIL Quantification Stratifies Lung Cancer Patients by Immune Status and Survival

Micro Highlight #37 – AI in Pathology and Laboratory Medicine: Managing Governance, Risk, and Accountability

A Quantum Mechanics Approach to Artificial Intelligence Can Improve Cancer Outcomes

From Single-tumour to Pan-cancer AI Diagnostics

UH Researchers Awarded $12M Grant to Advance AI, Data Science in Medicine

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Conference Reports
Part 4.3 – Pathologists Get “Test Drive” Platform for AI Tools Through CAP Initiative

Inside ESMO’s First AI Track: Foundation Models, VLMs, Agentic AI and the Future of Diagnostics

Part 4.2 – Is It Time We Redefine The Pathologist’s Ground Truth With AI?

Part 4.1 – AI Integration & Clinical Implementation

Part 3.2 – Beyond the Black Box: New Study Reveals How AI Models Actually ‘Think’ Through Pathology Cases

Part 3.1: Foundation Models & AI Innovation in Pathology

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Digital pathology
Stockholm3–Magnetic Resonance Imaging Population-Based Prostate Cancer Screening Study: Two-Year Follow-up

TransBreast-Net: An Interpretable Vision Transformer Ensemble for Breast Cancer Histopathology Classification

How Display Grade Affects Diagnostic Accuracy in Digital Pathology

Modular Scanners, Cytology, and AI Integration in Digital Pathology

Radiological Over and Underestimation of DCIS Extent in Breast Conserving Surgery Specimens: Radiological-pathological Correlation in Slice Radiographs and Respective Histological Large-format Slides

Challenges and Opportunities of Implementing Open-source Digital Pathology in Sub-Saharan Africa: Lessons Learned from Deploying QuPath for Breast Cancer Biomarker Assessment in Cameroon

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Headline

Integrated Spatial Transcriptomic Analysis Uncovers the Cellular Characteristics of Tumor-Associated Tertiary Lymphoid Structures

AI-Powered TIL Quantification Stratifies Lung Cancer Patients by Immune Status and Survival

New Computational Pipeline Improves Resolution of Breast Cancer Spatial Analysis

How Display Grade Affects Diagnostic Accuracy in Digital Pathology

New Machine Learning Tool Links Tumor Morphology to Treatment Outcomes in Ovarian Cancer

New Vision Transformer Model Shows Promise for Identifying High-Risk Oral Lesions

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Posters

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Spatial Biology
Integrated Single-Cell and Spatial Transcriptomics Analysis Reveals Potential Therapeutic Targets in Pancreatic Cancer

New AI Model Predicts Breast Cancer Gene Expression from Standard Tissue Images

Mapping Cancer’s Spatial Context Using CODEX: An Interview with Garry Nolan

How Spatial Technologies Are Reshaping Precision Medicine in Sweden: An Interview with Joakim Lundeberg

Spatial Biology Market Analysis and Forecast, 2025-2035: Opportunities in AI Bridging the Gap Between Routine Pathology and Spatial Omics, & Technology and Partnerships Boosting Spatial Biology

GASTON: Interpretable Deep Learning Enables Topography Mapping for Spatial Gene Expression

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Industry News
From digital transformation to AI readiness: University Medical Center Göttingen’s Journey in Digital Pathology

Leica Biosystems Brings Tempus Pathology Products to Aperio AI Store, Accelerating AI-Powered Capabilities for Oncology Research

How Unilabs is Advancing Digital Pathology and Precision Medicine with Proscia

Deciphex launches CipherX: a step beyond foundation models, an AI engine for any pathology question

Voicebrook Announces Digital Pathology Integration with Indica Labs, Delivering Automated AI Biomarker Reporting and Hands-Free Navigation

Cirdan Joins G-Cloud 15 Framework

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