{
  "abstract": "Arterial stiffness, commonly assessed by pulse wave velocity (PWV), is an important biomarker of cardiovascular risk, yet conventional PWV measurements require dual-site recordings that limit scalability in clinical settings. Here we introduce a physics-informed peripheral hemodynamic digital twin framework for estimating central-brachial arterial stiffness from a single brachial pressure waveform. Using our laboratory-developed cuff device, high-resolution brachial pulse waveforms were collected in a cohort of 118 subjects. The digital twin then personalizes a reduced-order wave propagation model through PDE-constrained optimization, generating a compact parameter space that encodes ventricular–vascular characteristics relevant to stiffness. Incorporating digital-twin-derived parameters improved PWV estimation on a blind test cohort ( r = 0.67, RMSE = 1.12 m/s) compared with a baseline model using only age and blood pressure ( r = 0.22, RMSE = 1.90 m/s). These results indicate that physics-informed digital twins can enable scalable, noninvasive assessment of vascular aging from accessible peripheral waveforms.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "name": "Arian Aghilinejad"
    },
    {
      "name": "Alessio Tamborini"
    },
    {
      "name": "Faisal Amlani"
    },
    {
      "name": "Morteza Gharib"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dn550sy73t6h7.bib",
  "cited_by": 0,
  "doi": "10.1038/s41746-026-03431-6",
  "fulltext_url": null,
  "id": "dn550sy73t6h7",
  "issns": [
    "2398-6352"
  ],
  "landing_url": "https://hal.science/hal-05847017v1",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.info"
    ],
    [
      "hal",
      "0.math"
    ],
    [
      "hal",
      "0.phys"
    ],
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      "hal",
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    [
      "openalex",
      "2705|Cardiovascular Health and Disease Prevention"
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  "openalex": "W7224105214",
  "pdf_url": "https://www.nature.com/articles/s41746-026-03431-6_reference.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-28",
  "publisher": "Nature Research",
  "ris": "https://research.draconitic.com/paper/dn550sy73t6h7.ris",
  "sources": [
    {
      "first_seen": "2026-11-01T12:20:46Z",
      "native_id": "hal-05847017",
      "source": "hal",
      "url": "https://hal.science/hal-05847017v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "hal:1.sdv.ib",
      "subfield": "systems-synthetic"
    },
    {
      "field": "mathematics",
      "origin": "hal:1.math.math-na",
      "subfield": "numerical-analysis"
    },
    {
      "field": "physics",
      "origin": "hal:0.phys",
      "subfield": "general"
    }
  ],
  "title": "A physics-informed peripheral hemodynamic digital twin for personalized estimation of arterial stiffness",
  "title_text": "A physics-informed peripheral hemodynamic digital twin for personalized estimation of arterial stiffness",
  "type": "peer-reviewed",
  "updated_at": "2026-11-03T12:20:17Z",
  "url": "https://research.draconitic.com/paper/dn550sy73t6h7",
  "venue": "npj Digital Medicine",
  "versions": []
}