Editor2026-08-21T13:14:37+00:00The Environmental Impact of Digital Pathology: What Full Digitization Means for Pathology’s Carbon FootprintEditor2026-08-21T13:14:37+00:00August 24, 2026|
Editor2026-08-21T12:22:20+00:00Loyalist College advances medical imaging training with Sectra’s Education PortalEditor2026-08-21T12:22:20+00:00August 21, 2026|
Editor2026-08-21T17:58:06+00:00Getting to Know Kary Rogers: A Conversation with Proscia’s Head of SupportEditor2026-08-21T17:58:06+00:00August 21, 2026|
Editor2026-08-19T09:28:24+00:00College President gives evidence to House of Lords Select CommitteeEditor2026-08-19T09:28:24+00:00August 21, 2026|
Editor2026-08-20T10:37:44+00:00Pathology 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+00:00The Pathology Portal celebrates its four year anniversary.Editor2026-08-19T09:13:31+00:00August 19, 2026|
Editor2026-08-18T13:34:58+00:00Meet Phaet and Mascaret: two pathology foundation models built to generalize across labsEditor2026-08-18T13:34:58+00:00August 19, 2026|
Editor2026-08-18T08:44:11+00:00Imagene AI Joins Proscia Ready Partner Alliance to Advance AI-Powered IHC Companion Diagnostics DevelopmentEditor2026-08-18T08:44:11+00:00August 18, 2026|
Editor2026-08-17T09:19:14+00:00Open-Source Platform Brings High-Resolution Spatial Biology Within Reach of Smaller LabsEditor2026-08-17T09:19:14+00:00August 17, 2026|
Editor2026-08-14T06:48:56+00:00Techcyte and elea Bring AI-Native Pathology Reporting into Techcyte FusionⓇEditor2026-08-14T06:48:56+00:00August 13, 2026|
Editor2026-08-13T08:46:16+00:00Pathologic Characterization of Non-Mass Enhancement Lesions of the Breast in MRI-guided BiopsyEditor2026-08-13T08:46:16+00:00August 13, 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)
