{
  "abstract": "Personalized gene editing demands robust mechanisms for privacy, ethical governance, and verifiable data integrity. This paper proposes ViBioChain, a modular blockchain-anchored architecture integrating five components: (1) differential chain-of-custody audit combining quantum fingerprinting with post-quantum signatures for immutable genomic audit trails; (2) proof-of-bioethical-compliance employing zero-knowledge proofs and AI-based ontology evaluation for automated bioethical gating; (3) federated genomic trust mesh (FGTM) enabling privacy-preserving collaborative model training with Renyi differential privacy accounting and trust-weighted federated aggregation; (4) ethical smart orchestration network for modular smart-contract-based workflow governance; and (5) genomic impact estimator via ethical explainability graphs (GIE-EEG) for ancestry-aware, ethically constrained phenotypic forecasting. Afterexpert-driven reconciliation, the implementation was rerun using 800 simulated individuals per dataset, 120 binary loci, five institutional clients, five independent seeds (42–46), and a true trust-weighted federated logistic aggregation path for FGTM rather than the earlier centralized accuracy proxy. Across three genomic cohorts and three domain-comparable baselines, ViBioChain achieved 92.16% ethical violation interception, 100.00% audit trail accuracy, 99.47% workflow traceability, 0.9183 ethical score alignment, and the highest global model accuracy among the tested methods (74.36%). The formal Renyi differential privacy accountant remained within budget ( $$\\varepsilon =1.8578$$ , $$\\delta =10^{-5}$$ ); however, the conservative clean-versus-noisy update leakage proxy did not support the earlier lowest-empirical-leakage assertion. That claim has therefore been removed. Additional IID and non-IID experiments show that severe Dirichlet client heterogeneity ( $$\\alpha =0.1$$ ) reduced final accuracy by 1.70–4.10 percentage points relative to IID partitions. The revised results provide a more conservative and reproducible blueprint for secure, ethically governed, and explainable genomic medicine in multi-institutional settings.",
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  "affiliations": [
    "School of Computer Science and Engineering, Vellore Institute of Technology"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
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        0
      ],
      "name": "C. Prabakaran"
    },
    {
      "affs": [
        0
      ],
      "name": "R. Kannadasan"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/387mgm38kgw9w.bib",
  "cited_by": 0,
  "doi": "10.1038/s41598-026-59495-7",
  "fulltext_url": "https://doi.org/10.1038/s41598-026-59495-7",
  "id": "387mgm38kgw9w",
  "issns": [
    "2045-2322"
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  "landing_url": "https://doi.org/10.1038/s41598-026-59495-7",
  "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": [
    [
      "lcc",
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      "lcc",
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      "openalex",
      "1710|Blockchain Technology Applications and Security"
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  "openalex": "W7169667145",
  "pdf_url": "https://www.nature.com/articles/s41598-026-59495-7_reference.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-07-01",
  "publisher": "Nature Portfolio",
  "ris": "https://research.draconitic.com/paper/387mgm38kgw9w.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:45:54Z",
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      "url": "https://doi.org/10.1038/s41598-026-59495-7"
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  "subjects": [
    {
      "field": "medicine",
      "origin": "lcc:R",
      "subfield": "general"
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  ],
  "title": "ViBioChain: a blockchain-enabled architecture for privacy-preserving, ethically governed, and explainable personalized gene editing",
  "title_text": "ViBioChain: a blockchain-enabled architecture for privacy-preserving, ethically governed, and explainable personalized gene editing",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:45:54Z",
  "url": "https://research.draconitic.com/paper/387mgm38kgw9w",
  "venue": "Scientific Reports",
  "versions": []
}