{
  "id": 3275762,
  "title": "Artificial Intelligence Model: Optimizing Cancer Risk Level Predictions Using Machine learning and deep learning approaches",
  "url": "https://urgent.news/2026/08/25/artificial-intelligence-model-optimizing-cancer-risk-level",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-25T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.20.745910v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "This study emphasizes the potential of computational techniques in cancer risk assessment, lighting opportunities for specific and data-driven healthcare solutions. This study examines the use of artificial intelligence (AI), machine learning (ML), and deep learning (DL) approaches to improve cancer risk assessment using a Kaggle dataset. The study uses Java-based ML software to create and…",
  "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."
}