{
  "id": 9469590,
  "title": "Do Center Biases Propagate? Robustness of Pathology Foundation Models in Whole-Slide Image Classification",
  "url": "https://urgent.news/2026/09/23/do-center-biases-propagate-robustness-of-pathology-foundation-models",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-23T14:55:43.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.28231v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Pathology foundation models (PFMs) have transformed computational pathology through powerful representation learning from histopathological images. PFMs provide rich, discriminative representations for whole slide image (WSI) analysis, enabling tasks such as slide-level classification under multiple instance learning (MIL). However, these representations may also encode non-biological signals…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}