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<Articles JournalTitle="Frontiers in Biomedical Technologies">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>Frontiers in Biomedical Technologies</JournalTitle>
      <Issn>2345-5837</Issn>
      <Volume>0</Volume>
      <Issue>0</Issue>
      <PubDate PubStatus="epublish">
        <Year>2026</Year>
        <Month>02</Month>
        <Day>16</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Digital Twins in Nuclear Medicine: A Pathway to Personalized Theranostics</title>
    <FirstPage>1589</FirstPage>
    <LastPage>1589</LastPage>
    <AuthorList>
      <Author>
        <FirstName>Hossein</FirstName>
        <LastName>Arabi</LastName>
        <affiliation locale="en_US">Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland</affiliation>
      </Author>
      <Author>
        <FirstName>Swagat</FirstName>
        <LastName>Dash</LastName>
        <affiliation locale="en_US">Department of Nuclear Medicine &amp; Molecular Theranostics, Sarvodaya Hospital, Faridabad, India</affiliation>
      </Author>
      <Author>
        <FirstName>Habibollah</FirstName>
        <LastName>Dadgar</LastName>
        <affiliation locale="en_US">Department of Nuclear Medicine and Molecular imaging, Cancer Research Center, RAZAVI Hospital, Mashhad University of Medical Science, Mashhad, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Majid</FirstName>
        <LastName>Assadi</LastName>
        <affiliation locale="en_US">The Persian Gulf Nuclear Medicine Research Center, The Persian Gulf Biomedical Research Institute, Department of Nuclear Medicine, Molecular Imaging, and Theranostics, Bushehr Medical University Hospital, School of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2026</Year>
        <Month>02</Month>
        <Day>14</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">Theranostics has revolutionized nuclear medicine by integrating diagnostic imaging and targeted radionuclide therapy, delivering precision oncology with proven survival benefits in cancers such as prostate cancer and neuroendocrine tumors. However, inter-patient variability in biodistribution, response, and toxicity remains a major challenge. This editorial explores the transformative potential of digital twins, dynamic virtual replicas of patients continuously updated with real-world data, as a natural synergy for theranostics. Theranostic digital twins enable predictive dosimetry, personalized treatment optimization, responder identification, and toxicity forecasting through hybrid AI-mechanistic models grounded in radiopharmacokinetics and radiobiology. Early development should prioritize clinically meaningful applications supported by comprehensive, harmonized multimodal datasets, robust hybrid modeling, and effective synchronization mechanisms. Large-scale collaboration and systematic evidence synthesis are essential to accelerate clinical translation. By bridging in-silico simulation with real-world theranostics, digital twins promise to evolve nuclear medicine toward truly proactive, equitable, and predictive personalized care.</abstract>
    <web_url>https://fbt.tums.ac.ir/index.php/fbt/article/view/1589</web_url>
    <pdf_url>https://fbt.tums.ac.ir/index.php/fbt/article/download/1589/554</pdf_url>
  </Article>
</Articles>
