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- December 11, 2025
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Editor2026-08-26T11:30:55+00:00
Aiforia and Stratipath partner to expand access to AI-driven precision diagnostics in oncology
Editor2026-08-26T11:30:55+00:00August 26, 2026|
Editor2026-08-21T13:30:19+00:00
Techcyte and Conflux Bring Transformative AI-Native Reporting to the Digital Pathology Workflow
Editor2026-08-21T13:30:19+00:00August 25, 2026|
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|
Editor2026-08-21T12:22:20+00:00
Loyalist College advances medical imaging training with Sectra’s Education Portal
Editor2026-08-21T12:22:20+00:00August 21, 2026|
Editor2026-08-21T17:58:06+00:00
Getting to Know Kary Rogers: A Conversation with Proscia’s Head of Support
Editor2026-08-21T17:58:06+00:00August 21, 2026|
Editor2026-08-21T13:18:05+00:00
Cytolab moves its cervical cytology screening to Techcyte SureView®
Editor2026-08-21T13:18:05+00:00August 21, 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|
Editor2026-08-18T13:34:58+00:00
Meet Phaet and Mascaret: two pathology foundation models built to generalize across labs
Editor2026-08-18T13:34:58+00:00August 19, 2026|
Editor2026-08-18T08:44:11+00:00
Imagene AI Joins Proscia Ready Partner Alliance to Advance AI-Powered IHC Companion Diagnostics Development
Editor2026-08-18T08:44:11+00:00August 18, 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)
