Forum on immune digital twins: a meeting report
Abstract Medical digital twins are computational models of human biology relevant to a given medical condition, which are tailored to an individual patient, thereby predicting the course of disease and individualized treatments, an important goal of personalized medicine. The immune system, which ha...
| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-02-01
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| Series: | npj Systems Biology and Applications |
| Online Access: | https://doi.org/10.1038/s41540-024-00345-5 |
| _version_ | 1797274192634183680 |
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| author | Reinhard Laubenbacher Fred Adler Gary An Filippo Castiglione Stephen Eubank Luis L. Fonseca James Glazier Tomas Helikar Marti Jett-Tilton Denise Kirschner Paul Macklin Borna Mehrad Beth Moore Virginia Pasour Ilya Shmulevich Amber Smith Isabel Voigt Thomas E. Yankeelov Tjalf Ziemssen |
| author_facet | Reinhard Laubenbacher Fred Adler Gary An Filippo Castiglione Stephen Eubank Luis L. Fonseca James Glazier Tomas Helikar Marti Jett-Tilton Denise Kirschner Paul Macklin Borna Mehrad Beth Moore Virginia Pasour Ilya Shmulevich Amber Smith Isabel Voigt Thomas E. Yankeelov Tjalf Ziemssen |
| author_sort | Reinhard Laubenbacher |
| collection | DOAJ |
| description | Abstract Medical digital twins are computational models of human biology relevant to a given medical condition, which are tailored to an individual patient, thereby predicting the course of disease and individualized treatments, an important goal of personalized medicine. The immune system, which has a central role in many diseases, is highly heterogeneous between individuals, and thus poses a major challenge for this technology. In February 2023, an international group of experts convened for two days to discuss these challenges related to immune digital twins. The group consisted of clinicians, immunologists, biologists, and mathematical modelers, representative of the interdisciplinary nature of medical digital twin development. A video recording of the entire event is available. This paper presents a synopsis of the discussions, brief descriptions of ongoing digital twin projects at different stages of progress. It also proposes a 5-year action plan for further developing this technology. The main recommendations are to identify and pursue a small number of promising use cases, to develop stimulation-specific assays of immune function in a clinical setting, and to develop a database of existing computational immune models, as well as advanced modeling technology and infrastructure. |
| first_indexed | 2024-03-07T14:55:49Z |
| format | Article |
| id | doaj.art-c741c1f590ac45d283f64aef08c6b4cb |
| institution | Directory Open Access Journal |
| issn | 2056-7189 |
| language | English |
| last_indexed | 2024-03-07T14:55:49Z |
| publishDate | 2024-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Systems Biology and Applications |
| spelling | doaj.art-c741c1f590ac45d283f64aef08c6b4cb2024-03-05T19:28:51ZengNature Portfolionpj Systems Biology and Applications2056-71892024-02-011011810.1038/s41540-024-00345-5Forum on immune digital twins: a meeting reportReinhard Laubenbacher0Fred Adler1Gary An2Filippo Castiglione3Stephen Eubank4Luis L. Fonseca5James Glazier6Tomas Helikar7Marti Jett-Tilton8Denise Kirschner9Paul Macklin10Borna Mehrad11Beth Moore12Virginia Pasour13Ilya Shmulevich14Amber Smith15Isabel Voigt16Thomas E. Yankeelov17Tjalf Ziemssen18Department of Medicine, University of FloridaDepartment of Mathematics and School of Biological Sciences, University of UtahDepartment of Surgery, University of VermontBiotechnology Research Center, Technology Innovation InstituteBiocomplexity Institute and Initiative, University of VirginiaDepartment of Medicine, University of FloridaDepartment of Intelligent Systems Engineering, Indiana UniversityDepartment of Biochemistry, University of NebraskaU.S. Walter Reed Army Institute of ResearchDepartment of Microbiology and Immunology, University of MichiganDepartment of Intelligent Systems Engineering, Indiana UniversityDepartment of Medicine, University of FloridaDepartment of Microbiology and Immunology, University of MichiganU.S. Army Research Office, Research Triangle ParkInstitute for Systems BiologyDepartment of Pediatrics, University of Tennessee Health Science CenterCenter of Clinical Neuroscience, Department of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of TechnologyDepartment of Biomedical Engineering, Oden Institute for Computational Engineering and Sciences, Departments of Biomedical Engineering, Diagnostic Medicine, Oncology, The University of TexasCenter of Clinical Neuroscience, Department of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of TechnologyAbstract Medical digital twins are computational models of human biology relevant to a given medical condition, which are tailored to an individual patient, thereby predicting the course of disease and individualized treatments, an important goal of personalized medicine. The immune system, which has a central role in many diseases, is highly heterogeneous between individuals, and thus poses a major challenge for this technology. In February 2023, an international group of experts convened for two days to discuss these challenges related to immune digital twins. The group consisted of clinicians, immunologists, biologists, and mathematical modelers, representative of the interdisciplinary nature of medical digital twin development. A video recording of the entire event is available. This paper presents a synopsis of the discussions, brief descriptions of ongoing digital twin projects at different stages of progress. It also proposes a 5-year action plan for further developing this technology. The main recommendations are to identify and pursue a small number of promising use cases, to develop stimulation-specific assays of immune function in a clinical setting, and to develop a database of existing computational immune models, as well as advanced modeling technology and infrastructure.https://doi.org/10.1038/s41540-024-00345-5 |
| spellingShingle | Reinhard Laubenbacher Fred Adler Gary An Filippo Castiglione Stephen Eubank Luis L. Fonseca James Glazier Tomas Helikar Marti Jett-Tilton Denise Kirschner Paul Macklin Borna Mehrad Beth Moore Virginia Pasour Ilya Shmulevich Amber Smith Isabel Voigt Thomas E. Yankeelov Tjalf Ziemssen Forum on immune digital twins: a meeting report npj Systems Biology and Applications |
| title | Forum on immune digital twins: a meeting report |
| title_full | Forum on immune digital twins: a meeting report |
| title_fullStr | Forum on immune digital twins: a meeting report |
| title_full_unstemmed | Forum on immune digital twins: a meeting report |
| title_short | Forum on immune digital twins: a meeting report |
| title_sort | forum on immune digital twins a meeting report |
| url | https://doi.org/10.1038/s41540-024-00345-5 |
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