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Editor2026-08-21T13:14:37+00:00
The Environmental Impact of Digital Pathology: What Full Digitization Means for Pathology’s Carbon Footprint
Editor2026-08-21T13:14:37+00:00August 24, 2026|
Editor2026-08-19T09:28:24+00:00
College President gives evidence to House of Lords Select Committee
Editor2026-08-19T09:28:24+00:00August 21, 2026|
Editor2026-08-20T10:37:44+00:00
Pathology Bites: Bryce Brown on the recent partnership between Leica Biosystems and Diadeep.
Editor2026-08-20T10:37:44+00:00August 20, 2026|
Editor2026-08-19T09:13:31+00:00
The Pathology Portal celebrates its four year anniversary.
Editor2026-08-19T09:13:31+00:00August 19, 2026|
Editor2026-08-17T09:19:14+00:00
Open-Source Platform Brings High-Resolution Spatial Biology Within Reach of Smaller Labs
Editor2026-08-17T09:19:14+00:00August 17, 2026|
Editor2026-08-13T08:46:16+00:00
Pathologic Characterization of Non-Mass Enhancement Lesions of the Breast in MRI-guided Biopsy
Editor2026-08-13T08:46:16+00:00August 13, 2026|
Editor2026-08-12T08:47:23+00:00
A multisite survey on patient perspectives of breast cancer risk assessment and supplemental breast cancer screening tools
Editor2026-08-12T08:47:23+00:00August 12, 2026|
Editor2026-08-11T09:16:15+00:00
NPIC Summit 2026: Steering the Global Future of Digital Pathology
Editor2026-08-11T09:16:15+00:00August 11, 2026|
Editor2026-08-11T07:19:59+00:00
A guide for the deployment, validation, and accreditation of clinical digital pathology tools
Editor2026-08-11T07:19:59+00:00August 11, 2026|
Editor2026-08-10T11:07:47+00:00
New Example-Based AI Explains How It Finds Mitotic Figures
Editor2026-08-10T11:07:47+00:00August 10, 2026|
Editor2026-08-10T08:12:29+00:00
CurvReg: Curvature-aware registration for multi-stain alignment of liver biopsies
Editor2026-08-10T08:12:29+00:00August 10, 2026|






![Figure 1: Fine-tuning improves robustness and performance jointly. Each foundation model is shown before (open circle) and after (filled circle) fine-tuning. The x-axis is the average PathoROB robustness index over three datasets, where higher values indicate greater robustness; the y-axis is the normalized rank sum over the HEST, THUNDER and Patho-Bench benchmarks, rescaled to [0, 1] so that 1 corresponds to the best achievable performance.](https://www.pathologynews.com/wp-content/uploads/2020/07/embedding-figure-800x600-1.png)












