{
  "id": 4140,
  "url": "https://arxiv.org/abs/2605.18055v1",
  "title": "FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction",
  "summary": "Predicting spatial gene expression from routine H\\&E enables large-scale molecular profiling, yet current models treat this as isolated pointwise tasks, thereby overlooking essential biological structures like gene coordination and spatial distribution. To preserve these relationships, we introduce \\textbf{FLAG}, a diffusion-based framework that redefines this task as structured distribution modeling. At the same time, we identify the critical \\textbf{Gene Dimension Curse}, where joint modeling ",
  "authors": "Qi Si, Penglei Wang, Yushuai Wu, Yifeng Jiao, Xuyang Liu, Xin Guo et al.",
  "category": "research",
  "topics": "safety-alignment,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-18T08:43:18.000Z",
  "fetched_at": "2026-07-14T16:30:45.940Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4140",
  "original_url": "https://arxiv.org/abs/2605.18055v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}