{
  "id": 1000941,
  "title": "Deep learning-based identification and quantification of rare circulating hybrid cells in orthotopic pancreatic cancer models",
  "url": "https://urgent.news/2026/08/15/deep-learning-based-identification-and-quantification-of-rare",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-15T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.14.744773v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Significance: Rare-cell identification in fluorescence microscopy remains challenging because targets are sparse and background varies between specimens. Combining specimen-specific fluorescence enrichment with image classification may enable efficient and more specific automated detection of rare cells. Aim: We developed a two-stage framework to identify and quantify candidate rare circulating…",
  "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."
}