{
  "id": 3140046,
  "title": "Mapping Alzheimer's neuropathology signatures to the whole brain transcriptome using machine learning data fusion",
  "url": "https://urgent.news/2026/08/24/mapping-alzheimers-neuropathology-signatures-to-the-whole-brain",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-24T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.19.745861v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "In Alzheimer's disease (AD), misfolded proteins emerge across the entire brain in structured, yet not rigid, spatiotemporal patterns. Yet, a systematic bias of single-cell genomics toward sampling mostly cortical tissue limits our understanding of the whole-brain transcriptomic vulnerability to AD. Here, we develop a machine learning method to extrapolate local AD neuropathology signatures to the…",
  "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."
}