{
  "id": 13063,
  "url": "https://arxiv.org/abs/2607.21117v1",
  "title": "GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes",
  "summary": "Preprocessing blood glucose time-series data is a critical yet often overlooked step in developing data-driven methods for diabetes management, particularly for type 1 diabetes. The lack of standardized preprocessing workflows and evaluation protocols hinders reproducibility and complicates fair comparison across studies. These challenges are further exacerbated by data-sharing restrictions, as privacy and licensing constraints often prevent the redistribution of preprocessed medical datasets. T",
  "authors": "Davide Marelli, Giorgia Rigamonti, Mirko Paolo Barbato, Paolo Napoletano",
  "category": "research",
  "topics": "privacy-surveillance,copyright-ip,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-23T09:53:39.000Z",
  "fetched_at": "2026-07-25T05:10:48.796Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/13063",
  "original_url": "https://arxiv.org/abs/2607.21117v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}