{
  "abstract": "The metastatic disease is largely unobservable at the earliest stages of cancers: when dissemination occurred, how many occult lesions exist and which will grow cannot be directly measured. We review computational frameworks developed to reconstruct these hidden biological states (deterministic, stochastic, agent based, hybrid mechanistic models, and machine learning approaches), examining their key insights, identifiability and prospective validation as translation barriers, and the potential of emerging multimodal data to constrain next generation digital twins.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "name": "Romain Zakrajsek"
    },
    {
      "name": "David Boulate"
    },
    {
      "name": "Sébastien Benzekry"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5ymktgk987t80.bib",
  "cited_by": 0,
  "doi": null,
  "fulltext_url": null,
  "id": "5ymktgk987t80",
  "issns": [],
  "landing_url": "https://inria.hal.science/hal-05752241v1",
  "language": "en",
  "licence": "CC-BY-NC-SA-4.0",
  "licence_label": "CC BY-NC-SA 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-sa/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.info"
    ],
    [
      "hal",
      "0.sdv"
    ],
    [
      "hal",
      "1.info.info-mo"
    ],
    [
      "hal",
      "1.sdv.bibs"
    ],
    [
      "hal",
      "1.sdv.can"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://inria.hal.science/hal-05752241/document",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-16",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/5ymktgk987t80.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:35Z",
      "native_id": "hal-05752241",
      "source": "hal",
      "url": "https://inria.hal.science/hal-05752241v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "hal:1.sdv.bibs",
      "subfield": "bioinformatics"
    },
    {
      "field": "medicine",
      "origin": "hal:1.sdv.can",
      "subfield": "oncology"
    }
  ],
  "title": "A Review of Computational Modeling of Cancer Metastasis",
  "title_text": "A Review of Computational Modeling of Cancer Metastasis",
  "type": "preprint",
  "updated_at": "2026-10-30T12:17:35Z",
  "url": "https://research.draconitic.com/paper/5ymktgk987t80",
  "venue": "HAL",
  "versions": []
}