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Editor2026-07-28T12:27:45+00:00
Scalable, Modular Whole-slide Imaging Pipelines for Low-resource Settings: a Practical Framework and Open Notebook Implementation
Editor2026-07-28T12:27:45+00:00July 22, 2026|
Editor2026-09-29T13:03:42+00:00
Microtomy and Sectioning at NYU Langone
Editor2026-09-29T13:03:42+00:00July 21, 2026|
Editor2026-09-29T13:03:23+00:00
Paraffin Embedding and Blocking at NYU Langone
Editor2026-09-29T13:03:23+00:00July 20, 2026|
Editor2026-07-27T11:20:35+00:00
AI Flags 250,000 Cancer Studies as Scientists Warn of Fake Research Surge
Editor2026-07-27T11:20:35+00:00July 20, 2026|
Editor2026-07-20T07:54:42+00:00
New Pan-Cancer Atlas Reveals Two Immune Hubs That Predict Immunotherapy Response
Editor2026-07-20T07:54:42+00:00July 20, 2026|
Editor2026-09-29T13:04:28+00:00
Tissue Grossing at NYU Langone
Editor2026-09-29T13:04:28+00:00July 19, 2026|
Editor2026-09-29T13:04:54+00:00
Slide Scanning at NYU Langone
Editor2026-09-29T13:04:54+00:00July 18, 2026|
Editor2026-09-25T13:39:31+00:00
How NYU Langone’s Digital Foundations Made Rapid Digital Pathology Possible
Editor2026-09-25T13:39:31+00:00July 17, 2026|
Editor2026-09-25T13:33:49+00:00
From Resistance to Advocacy: How NYU Langone Brought Its Histopathologists On Board with Digital Pathology
Editor2026-09-25T13:33:49+00:00July 16, 2026|
Editor2026-09-25T13:13:56+00:00
From Quality Control to Case Prioritisation: NYU Langone’s Vision for AI in Histopathology
Editor2026-09-25T13:13:56+00:00July 15, 2026|
Editor2026-07-22T08:40:57+00:00
Why Accuracy Matters in Digital Pathology Podcast with Keith Wharton, Jr., MD PhD, Global Medical Affairs Leader – Pathology – Roche
Editor2026-07-22T08:40:57+00:00July 15, 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)














