{
  "id": 8025,
  "url": "https://doi.org/10.18632/oncotarget.10830",
  "title": "Prediction and diagnosis of renal cell carcinoma using nuclear magnetic resonance-based serum metabolomics and self-organizing maps",
  "summary": "// Hong Zheng 1 , Jiansong Ji 2 , Liangcai Zhao 1 , Minjiang Chen 1, 2 , An Shi 3 , Linlin Pan 1 , Yiran Huang 3 , Huajie Zhang 1 , Baijun Dong 3 , Hongchang Gao 1 1 School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China 2 Lishui Central Hospital, The Fifth Affiliated Hospital, Wenzhou Medical University, Lishui, 323000, China 3 Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China Correspondence to: Hongc",
  "authors": "Hong Zheng, Jiansong Ji, Liangcai Zhao, Minjiang Chen, An Shi, Linlin Pan",
  "category": "research",
  "topics": "healthcare,children-education,biotech",
  "orgs": null,
  "regions": "china",
  "published_at": "2016-07-24T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:30.803Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/8025",
  "original_url": "https://doi.org/10.18632/oncotarget.10830",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}