{
  "abstract": "Background: Lung cancer (LC) is the leading cause of cancer-related deaths globally. The LUCIA project (Agreement n° 101096473) is dedicated to advance LC screening and prevention by discovering and understanding risk factors contributing to LC development. We use digital tools and AI to integrate multimodal data from wide-population and precision screening cohorts. Linking disparate data layers, we aim to develop a validated risk engine for more accurate, individualized risk stratification in LC screening programs.\n\nMethods: LUCIA is a multinational study integrating retrospective Electronic Health Record (EHR) cohorts with a prospective clinical validation study. We included >50,000 individuals from longitudinal EHR datasets for the retrospective study and 3,029 participants in the prospective study enrolled in 3 phases. We use data harmonization to the OMOP Common Data Model, advanced AI modeling using Time-Aware Transformers (STraTS) for clinical time-series and hybrid models for environmental/geospatial data fusion. As intervention, we apply non-invasive sensing devices. Our primary outcomes include model predictive performance (AUROC/AUPRC) for LC risk, diagnostic sensitivity/specificity of sensing technologies, and identification of implementation.\n\nResults: Preliminary results demonstrate a high predictive and diagnostic performance across the LUCIA toolbox. We have validated a multimodal risk engine integrating clinical and environmental data to achieve high predictive accuracy (AUROC 0.75), outperforming traditional screening models. By demonstrating that non-invasive breath and wearable sensors provide effective triage with 80–87% sensitivity, we support a low-cost primary care screening layer to reduce unnecessary imaging. These technical achievements are backed by the harmonization of 90% of consortium data to OMOP standards.\n\nConclusions: LUCIA has transitioned a holistic AI toolbox to the public health domain to enable proactive, precision LC prevention.\n\nKey messages: • The LUCIA project (2023-2026) works to validate risk factors beyond smoking history in lung cancer development and to enable proactive, precision lung cancer prevention.\n\n• The LUCIA project results demonstrate the effectiveness of non-invasive breath and wearable sensors and support a low-cost primary care screening layer to reduce unnecessary imaging.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "abstract",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "name": "M Nabbe"
    },
    {
      "name": "A Garin-Muga"
    },
    {
      "name": "E Arana-Arri"
    },
    {
      "name": "B Polis"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1b73978baj4qe.bib",
  "cited_by": 0,
  "doi": "10.1093/eurpub/ckag169.608",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13699286/",
  "id": "1b73978baj4qe",
  "issns": [
    "1101-1262",
    "1464-360X"
  ],
  "landing_url": "https://doi.org/10.1093/eurpub/ckag169.608",
  "language": "en",
  "licence": "CC-BY-NC-4.0",
  "licence_label": "CC BY-NC 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "3. PARALLEL PROGRAMME"
    ],
    [
      "heading",
      "AcademicSubjects/MED00860"
    ],
    [
      "heading",
      "AcademicSubjects/SOC01210"
    ],
    [
      "heading",
      "AcademicSubjects/SOC02610"
    ],
    [
      "openalex",
      "2740|Lung Cancer Diagnosis and Treatment"
    ]
  ],
  "openalex": "W7223651747",
  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13699286/pdf/?tool=EBI",
  "pmcid": "PMC13699286",
  "pmid": null,
  "published": "2026-10-01",
  "publisher": "Oxford University Press",
  "ris": "https://research.draconitic.com/paper/1b73978baj4qe.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:55Z",
      "native_id": "PMC13699286",
      "source": "pmc",
      "url": "https://doi.org/10.1093/eurpub/ckag169.608"
    },
    {
      "first_seen": "2026-10-30T12:21:31Z",
      "native_id": "PMC:PMC13699286",
      "source": "europepmc",
      "url": "https://europepmc.org/article/PMC/PMC13699286"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2740|Lung Cancer Diagnosis and Treatment",
      "subfield": "general"
    }
  ],
  "title": "The LUCIA project: understanding determinants to improve lung cancer screening and early detection",
  "title_text": "The LUCIA project: understanding determinants to improve lung cancer screening and early detection",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:35:53Z",
  "url": "https://research.draconitic.com/paper/1b73978baj4qe",
  "venue": "The European Journal of Public Health",
  "versions": []
}