{
  "id": 1729577,
  "title": "A cross-modal generative model for incomplete and degradedprostate MRI with multicentre clinical validation",
  "url": "https://urgent.news/2026/08/18/a-cross-modal-generative-model-for-incomplete-and-degradedprostate",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-18T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.16.745066v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Missing or degraded sequences can limit prostate multiparametric MRI. We developed MSCNet, a sequence-conditioned cross-modal generative framework for reconstructing unavailable contrasts and restoring degraded acquisitions. Across ten completion tasks, task-specific MSCNet achieved mean structural similarity of 0.818 versus 0.798 for the strongest task-matched comparators; matched-capacity…",
  "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."
}