{
  "abstract": "We have carefully reviewed the article titled ‘Construction of exosome non-coding RNA feature for non-invasive, early detection of gastric cancer patients by machine learning: a multi-cohort study’ by Cai et al. 1 The study uses machine learning to build exosome non-coding RNA (ncRNA) features for the non-invasive early detection of gastric cancer (GC), addressing the urgent need for accurate early detection methods. Despite the significant achievements of this study, there are several key aspects that warrant further exploration.",
  "authors": [
    {
      "affiliations": [
        "College of Integrative Chinese and Western Medicine, Southwest Medical University, Luzhou, Sichuan, China",
        "Department of Anorectal, The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China"
      ],
      "name": "Weizheng Huang"
    },
    {
      "affiliations": [
        "Department of Pharmacy, The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China"
      ],
      "name": "Yaling Li"
    },
    {
      "affiliations": [
        "College of Integrative Chinese and Western Medicine, Southwest Medical University, Luzhou, Sichuan, China",
        "Department of Anorectal, The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China"
      ],
      "name": "Jun Li"
    }
  ],
  "title": "Enhancing non-invasive early detection of gastric cancer: a critical reflection on exosome ncRNA and machine learning",
  "uid": "9c06ae2e-329f-5a1a-90ef-7cd8c2d42c7d"
}