ArticleResearch square2024
Evolution of digital twins in precision health applications: a scoping review study.
Yu Huang, Hao Dai, Jie Xu, Ruoqi Wei, Leyang Sun, Yi Guo, Jingchuan Guo, Jiang Bian
Abstract readPreprintScoping Review
In one paragraphArticle in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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0citing papers in PubMed
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What it found
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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 registryThe 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.
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3 · Its place in the literatureWho cites it
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4 · The recordCorrections and comments
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5 · Who and what moneyAuthors and funding
8 authors.
Hao DaiDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Jie XuDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Ruoqi WeiDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Leyang SunDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Jingchuan GuoDepartment of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, FL, USA.
Funding
Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2MACTS (AD Clinical Trial Simulation): Developing Advanced Informatics Approaches for an Alzheimer's Disease Clinical Trial Simulation SystemR01AG084236 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Jiang Bian, Cui Tao · 2023 to 2026
$4.1MComputational Drug Repurposing for AD/ADRD with Integrative Analysis of Real World Data and Biomedical KnowledgeR01AG076234 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Jiang Bian, Fei Wang · 2022 to 2026
$3.8MAn end-to-end informatics framework to study Multiple Chronic Conditions (MCC)'s impact on Alzheimer's disease using harmonized electronic health recordsR01AG083039 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BIAN, JIANG, JIANG, XIAOQIAN · 2023 to 2025
$3.4MEligibility criteria design for Alzheimer's trials with real-world data and explainable AIR01AG080991 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Jiang Bian, Fei Wang · 2023 to 2026
$3.1MDisparities of Alzheimer's disease progression in Sexual Minority IndividualsR01AG080624 · NIA · UNIVERSITY OF FLORIDA · PI Jiang Bian, Yi Guo · 2023 to 2026
$3.1MArtificial Intelligence and Counterfactually Actionable Responses to End HIV (AI-CARE-HIV)R01AI172875 · NIAID · UNIVERSITY OF FLORIDA · PI Jiang Bian, Mattia Prosperi · 2023 to 2026
$2.8MSupplement of NIDDK R01 newer GLDs and Clinical OutcomesR01DK133465 · NIDDK · UNIVERSITY OF FLORIDA · PI GUO, JINGCHUAN, SHAO, HUI · 2022 to 2025
$2.8MPost-Acute Sequelae of SARS-CoV-2 Infection and Subsequent Disease Progression in Individuals with AD/ADRD: Influence of the Social and Environmental Determinants of HealthRF1AG084178 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI BIAN, JIANG, HU, HUI · 2023 to 2023
$2.6MAI-ADRD: Accelerating interventions of AD/ADRD via Machine learning methodsRF1AG077820 · NIA · UNIVERSITY OF PENNSYLVANIA · PI BIAN, JIANG, CHEN, YONG · 2023 to 2023
$2.3MiSMART: intelligent Social risk Management in AD/ADRD paTientsR01AG089445 · NIA · UNIVERSITY OF FLORIDA · PI Jiang Bian, Jingchuan Guo · 2024 to 2026
$2.2MAdvancing Precision Lung Cancer Surveillance and Outcomes in Diverse Populations (PLuS2)R01CA284646 · NCI · UNIVERSITY OF FLORIDA · PI Dejana K Braithwaite, Michael K Gould · 2023 to 2026
$2.1MNCATS NIH HHS UL1 TR001427NCCDPHP CDC HHS U18 DP006512NCI NIH HHS R01 CA246418NCI NIH HHS R01 CA284646NCI NIH HHS R21 CA245858NIAID NIH HHS R01 AI172875NIA NIH HHS R01 AG076234NIA NIH HHS R01 AG080624NIA NIH HHS R01 AG080991NIA NIH HHS R01 AG083039NIA NIH HHS R01 AG084236NIA NIH HHS R01 AG089445NIA NIH HHS R21 AG068717NIA NIH HHS RF1 AG077820NIA NIH HHS RF1 AG084178NIDDK NIH HHS R01 DK133465NIEHS NIH HHS R24 ES036131
6 · The paper itselfAbstract
An increasing amount of research is incorporating the concept of Digital twin (DT) in biomedical and health care applications. This scoping review aims to summarize existing research and identify gaps in the development and use of DTs in the health care domain. The focus of this study lies on summarizing: the different types of DTs, the techniques employed in DT development, the DT applications in health care, and the data resources used for creating DTs. We identified fifty studies, which mainly focused on creating organ- (n=15) and patient-specific twins (n=30). The research predominantly centers on cardiology, endocrinology, orthopedics, and infectious diseases. Only a few studies used real-world datasets for developing their DTs. However, there remain unresolved questions and promising directions that require further exploration. This review provides valuable reference material and insights for researchers on DTs in health care and highlights gaps and unmet needs in this field.
Indexed as
Agent-based ModelingArtificial IntelligenceHealth Digital TwinsMicrosimulationReal-world Data
Identifiers
PMID39149471
PMCPMC11326392
What Socratic holds
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LicenceCC BY
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