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Pathology

Image: ArteraAI Breast analyzes digitized histopathology images alongside patient clinical variables to produce an AI-derived risk score that provides prognostic insight into the likelihood of distant metastasis (Image credit: Adobe Stock)

FDA Clears AI Digital Pathology Tool for Breast Cancer Risk Stratification

An FDA-cleared AI pathology tool enables same-day metastasis risk stratification in early HR+/HER2- breast cancer to guide care. More...
07 May 2026
Image: Tissue sample spatial analysis (on left) and standard H&E image (on right) (Photo courtesy of QIMR Berghofer Medical Research Institute)

New AI Tool Reveals Hidden Genetic Signals in Routine H&E Slides

An AI approach leverages spatial biology on H&E slides to predict genetic markers, detect cancers, and forecast therapy response. More...
07 May 2026
Image: SPARK overview, data structure and study design (Trost, F., Zhang, B., Aring, I. et al. https://doi.org/10.1038/s41591-026-04357-y)

AI System Analyzes Routine Pathology Slides to Predict Cancer Outcomes

An AI approach links specialized pathology agents to mine slides for markers predicting prognosis and therapy response. More...
06 May 2026
Image: The AidaBREAST assay integrates multimodal data to provide patient-specific 10-year recurrence risk and individualized predictions of radiation therapy benefit (photo courtesy of PreludeDx)

Multi-Omic Assay Predicts Recurrence and Radiation Benefit in Early Breast Cancer

A new multi-omic assay now provides individualized recurrence risk and predicted benefit from adjuvant radiation after breast-conserving surgery. More...
01 May 2026
Image: The researchers derived a gene-based signature and a blood test to help identify this high-risk subgroup (photo credit: Shutterstock)

New Tissue Mapping Approach Identifies High-Risk Form of Diabetic Kidney Disease

Spatial mapping distinct patterns predicting faster DKD progression, enabling a blood test to stratify risk. More...
30 Apr 2026
Image: Study flowchart. This study developed a multimodal artificial intelligence framework to predict PIK3CA mutations in breast cancer (Jiaxian Miao et al., Cancer Biol Med 23(3): 430–450 (2026). DOI: 10.20892/j.issn.2095-3941.2025.0771)

Multimodal AI Tool Predicts Genetic Alterations to Guide Breast Cancer Treatment

An AI approach combining pathology images and clinical data predicts PIK3CA mutations, informing PI3K therapy in breast cancer. More...
25 Apr 2026
Image: Overview of the MorphoGenie framework (Murthy, R.S., Stassen, S.V., Siu, D.M.D. et al. Nat Commun 16, 11465 (2025). doi.org/10.1038/s41467-025-66267-w)

Interpretable AI Reveals Hidden Cellular Features from Microscopy Images

An AI approach learns interpretable cell image features to distinguish cancer subtypes and drug effects for sharper diagnosis. More...
24 Apr 2026
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The Pathology channel details advances in the field of Surgical Pathology and all its subspecialties, including Cytopathology and its subspecialties.
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