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Pathology

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
Image: The findings show that patients with tumors harboring active networks of cytotoxic T cells were more likely to benefit from treatment, whereas those with dense clusters of plasma cells were significantly less likely to respond (photo courtesy of Shutterstock)

Tumor Immune Structure Predicts Response to Immunotherapy in Melanoma

New findings show spatial immune 'cellular neighborhoods' predict response to combination immunotherapy after anti-PD-1 failure. More...
24 Apr 2026
Image: The PRET system provides an integrated solution for multiple pathology diagnostic tasks, including cancer screening, tumor subtyping, tumor segmentation, and lymph node metastasis detection (Li, Y., Ning, Z., Xiang, T. et al. Nature Cancer (2026). doi.org/10.1038/s43018-026-01141-2)

Plug-and-Play AI Pathology System Classifies Multiple Cancers from Few Slides

An AI approach classifies and segments multiple cancers from few annotated slides, outperforming existing methods across tasks. More...
23 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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