Evidence map›Paper›PMID 38515550›Full record

ReviewFrontiers in digital health2024

Toward mechanistic medical digital twins: some use cases in immunology.

Reinhard Laubenbacher, Fred Adler, Gary An, Filippo Castiglione, Stephen Eubank, Luis L Fonseca, James Glazier, Tomas Helikar, Marti Jett-Tilton, Denise Kirschner and 9 more

Abstract readReview
In one paragraph

Review in Frontiers in digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. The Potential of Digital Twins for Pediatric Rare Diseases.CPT: pharmacometrics & systems pharmacology · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Reinhard LaubenbacherDepartment of Medicine, University of Florida, Gainesville, FL, United States.
Fred AdlerDepartment of Mathematics and School of Biological Sciences, University of Utah, Salt Lake, UT, United States.
Gary AnDepartment of Surgery, University of Vermont, Burlington, VT, United States.
Filippo CastiglioneBiotechnology Research Center, Technology Innovation Institute, Abu Dhabi, United Arab Emirates.
Stephen EubankBiocomplexity Institute and Initiative, University of Virginia, Charlottesville, VA, United States.
Luis L FonsecaDepartment of Medicine, University of Florida, Gainesville, FL, United States.
James GlazierDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN, United States.
Tomas HelikarDepartment of Biochemistry, University of Nebraska, Lincoln, NE, United States.
Marti Jett-TiltonU.S. Walter Reed Army Institute of Research, Silver Spring, MD, United States.
Denise KirschnerDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, United States.
Paul MacklinDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN, United States.
Borna MehradDepartment of Medicine, University of Florida, Gainesville, FL, United States.
Beth MooreDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, United States.
Virginia PasourU.S. Army Research Office, Research Triangle Park, NC, United States.
Ilya ShmulevichInstitute for Systems Biology, Seattle, WA, United States.
Amber SmithDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, United States.
Isabel VoigtCenter for Clinical Neuroscience, Carl Gustav Carus University Hospital, Dresden, Germany.
Thomas E YankeelovDepartment of Biomedical Engineering, Oden Institute for Computational Engineering and Sciences, Austin, TX, United States.
Tjalf ZiemssenCenter for Clinical Neuroscience, Carl Gustav Carus University Hospital, Dresden, Germany.

Funding

WORK ORDER 126643 B539 EXPAND IC SUITE75N91019D00024 · NIAID · LEIDOS BIOMEDICAL RESEARCH, INC. · PI BRISCOE, LYNN · 2019 to 2025
$3932.6M
Immunobiology of Lung Injury and FibrosisR35HL144481 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MOORE, BETHANY B. · 2019 to 2024
$5.2M
Multiscale modeling of the role of heme during invasive pulmonary aspergillosisR01AI135128 · NIAID · UNIVERSITY OF FLORIDA · PI REINHARD LAUBENBACHER, Borna Mehrad · 2018 to 2026
$4.9M
Software for collaborative construction, simulation, and analysis of mechanistic computational models of biological systemsR35GM119770 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI Tomas Helikar · 2016 to 2026
$4.4M
Lesion-centric optimization of multidrug therapies for tuberculosisR01AI150684 · NIAID · TUFTS UNIVERSITY BOSTON · PI ALDRIDGE, BREE BEARDSLEY, KIRSCHNER, DENISE E · 2020 to 2024
$4.2M
Mechanistic modeling of the innate immune responses of the human lung to understand the inter-individual heterogeneity of COVID-19 pneumoniaR01HL169974 · NHLBI · UNIVERSITY OF FLORIDA · PI REINHARD LAUBENBACHER, Borna Mehrad · 2023 to 2026
$2.9M
Virtual Patient Cohorts to Illuminate Immunologic Drivers of Influenza SeverityR01AI170115 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SMITH, AMBER M · 2022 to 2025
$2.8M
Prototype System for AML Digital TwinsR01CA270210 · NCI · INSTITUTE FOR SYSTEMS BIOLOGY · PI VESTEINN THORSSON · 2023 to 2026
$2.8M
Agent-based Models to address the Crisis of Reproducibility and Precision MedicineU01EB025825 · NIBIB · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI AN, GARY, FAISSOL, DANIEL M · 2018 to 2021
$2.3M
Using label-free Raman microscopy to predict therapeutic resistance of TNBC cellsU01CA253540 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI BROCK, AMY, YANKEELOV, THOMAS E · 2020 to 2024
$2.1M
Predictive Modeling of Influenza-Pneumococcal CoinfectionR01AI139088 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SMITH, AMBER M · 2018 to 2022
$2.1M
Epigenetic Regulation of Prostaglandin E2 (PGE2) Synthesis Alters Macrophage Function to Promote Inflammation and Impair Diabetic Wound HealingR01DK124290 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GALLAGHER, KATHERINE ANN, MOORE, BETHANY B. · 2020 to 2023
$1.8M
NCI NIH HHS 75N91019D00024NCI NIH HHS R01 CA240589NCI NIH HHS R01 CA270210NCI NIH HHS U01 CA253540NHLBI NIH HHS R01 HL169974NHLBI NIH HHS R35 HL144481NIAID NIH HHS R01 AI135128NIAID NIH HHS R01 AI139088NIAID NIH HHS R01 AI150684NIAID NIH HHS R01 AI170115NIBIB NIH HHS U01 EB025825NIDDK NIH HHS R01 DK124290NIGMS NIH HHS R35 GM119770
6 · The paper itself

Abstract

A fundamental challenge for personalized medicine is to capture enough of the complexity of an individual patient to determine an optimal way to keep them healthy or restore their health. This will require personalized computational models of sufficient resolution and with enough mechanistic information to provide actionable information to the clinician. Such personalized models are increasingly referred to as medical digital twins. Digital twin technology for health applications is still in its infancy, and extensive research and development is required. This article focuses on several projects in different stages of development that can lead to specific-and practical-medical digital twins or digital twin modeling platforms. It emerged from a two-day forum on problems related to medical digital twins, particularly those involving an immune system component. Open access video recordings of the forum discussions are available.

Indexed as

immune digital twinmedical digital twinpersonalized medicinereview of digital twin projectsroadmap

Identifiers

PMID38515550
PMCPMC10955144

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.