From Years to Days: How Digital Twins Could Compress Pharmaceutical Response to Bio-Threats

Position paper exploring how biological digital twins could compress pharmaceutical response timelines from years to days. Proposes mechanistic modeling (Large Quantitative Models) as superior to statistical approaches for drug response prediction. Examines the regulatory pathway from research tool to clinical decision support, referencing FDA Digital Health guidance and EU MDR classification.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-21
DOI
https://doi.org/10.5281/zenodo.19643316
Primary Topic
Neuroethics, Human Enhancement, Biomedical Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

From Years to Days: How Digital Twins Could Compress Pharmaceutical Response to Bio-Threats

Zenodo (CERN European Organization for Nuclear Research)
Neuroethics, Human Enhancement, Biomedical Innovations
article

From Years to Days: How Digital Twins Could Compress Pharmaceutical Response to Bio-Threats

article en

Abstract

Position paper exploring how biological digital twins could compress pharmaceutical response timelines from years to days. Proposes mechanistic modeling (Large Quantitative Models) as superior to statistical approaches for drug response prediction. Examines the regulatory pathway from research tool to clinical decision support, referencing FDA Digital Health guidance and EU MDR classification.

Zenodo (CERN European Organization for Nuclear Research)
Association of British Orchestras (GB)
Openalex Percentile: Top 23%
Neuroethics, Human Enhancement, Biomedical Innovations
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