{
  "id": 4348677,
  "title": "Visual LLM-guided consensus spatial domain detection with L-STAR",
  "url": "https://urgent.news/2026/08/29/visual-llm-guided-consensus-spatial-domain-detection-with-l-star",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-29T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.25.747158v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Spatial domain detection is a central task in spatial transcriptomics, yet existing methods exhibit highly variable performance across datasets. We introduce L-STAR, a visual LLM-guided, consensus-based framework that leverages the visual reasoning capacity of large language models to adaptively rank and integrate spatial domain detection methods. L-STAR achieves robust and consistently improved…",
  "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."
}