{
  "id": 9766,
  "url": "https://doi.org/10.1186/s13073-025-01435-7",
  "title": "Digital twins as global learning health and disease models for preventive and personalized medicine",
  "summary": "Ineffective medication is a major healthcare problem causing significant patient suffering and economic costs. This issue stems from the complex nature of diseases, which involve altered interactions among thousands of genes across multiple cell types and organs. Disease progression can vary between patients and over time, influenced by genetic and environmental factors. To address this challenge, digital twins have emerged as a promising approach, which have led to international initiatives aim",
  "authors": "Xinxiu Li, Joseph Loscalzo, A. K. M. Firoj Mahmud, Dina Mansour Aly, Andrey Rzhetsky, Marinka Žitnik",
  "category": "research",
  "topics": "healthcare,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2025-02-07T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:34:00.822Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9766",
  "original_url": "https://doi.org/10.1186/s13073-025-01435-7",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}