{
  "id": 12080180,
  "title": "Transcriptome-informed multi-modal AI for predicting neoadjuvant therapy response from breast cancer biopsies",
  "url": "https://urgent.news/2026/10/02/transcriptome-informed-multi-modal-ai-for-predicting-neoadjuvant",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-02T17:52:57.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.03693v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Scarcity of labeled data limits development of deep learning biomarkers in oncology. We develop a two-stage AI model predicting pathological complete response (pCR) to neoadjuvant therapy in breast cancer. The first stage learns the transcriptome from histopathology using 8,742 patients across 32 cancer types, corroborated by pathologist review and spatial agreement with measured expression. This…",
  "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."
}