Pathology

In Other News

• CAP Updates Cancer Protocols to Refine Breast Cancer Biomarker Reporting and GIST Molecular Testing

• Digital Pathology Partnership Integrates Breast Cancer Diagnostic and Prognostic Tools

• MGI Launches Automated Multiplex Tissue Imaging System at ECP 2026

• Multimodal AI Framework Aims to Guide Cancer Immunotherapy Decisions

• AI Spatial Analysis of Routine Slides Helps Predict Pancreatic Cancer Recurrence

• Hybrid Computational Imaging Method Improves Digital Pathology Resolution

• FDA Clearance Expands Digital Pathology Options for Clinical Laboratories

• Label-Free Imaging Reveals Hidden Immune Activity in Blood Samples

• AI Tool Improves Prediction of Immunotherapy Response in Lung Cancer

• New Journal Addresses Evolving Needs in Clinical and Translational Pathology

• AI Matches Pathologists in Predicting Breast Cancer Prognosis from Immune Cells

• AI-Pathologist Framework Improves Accuracy and Reliability in Cancer Diagnosis

• New Review Highlights Intelligent Agents as Next Step for Digital Pathology

• Simple Immunohistochemical Size Ratio Improves Classification of Primary Aldosteronism

• 30-Minute 3D Histology Tool Supports Intraoperative Glioma Margin Assessment

• AI Links Organ-Specific Aging Patterns in Histology to Blood-Based Signals

• Ultrathin Metasurface Could Bring Quantitative Phase Imaging to Portable Devices

• AI Uses H&E Slides to Predict Key Biomarkers Across 32 Cancers

• AI Tool Identifies Slide Artifacts to Speed Digital Pathology Diagnosis

• FDA-Cleared Digital Pathology Platform Expands Interoperability for Primary Diagnosis

• AI Pathology Tool Predicts Relapse Risk in Stage II Colorectal Cancer

• AI Pathology Tool Stratifies Rectal Cancer to Guide Chemoradiotherapy

• PD-L1 Assay Guides Pembrolizumab Eligibility in Ovarian, Fallopian Tube, and Peritoneal Cancers