Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants | Paper Citation Record

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This paper cites Reducing the Global Burden of Cardiovascular Disease, Part 1.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Reducing the Global Burden of Cardiovascular Disease, Part 1

Reference 1

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Observation b7313efb-146c-4cde-bd64-450da4b0c9f4 · outbound

This paper cites The ‘Digital Twin’ to enable the vision of precision cardiology.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants The ‘Digital Twin’ to enable the vision of precision cardiology

Reference 2

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This paper cites The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field

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This paper cites GPU accelerated digital twins of the human heart open new routes for cardiovascular research.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants GPU accelerated digital twins of the human heart open new routes for cardiovascular research

Reference 4

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This paper cites MP-470543-006 TOW ARDS A GLOBAL ARRHYTHMIC RISK SCORE FOR ICD PLACEMENT IN ISCHEMIC HEART DISEASE INCORPORATING NOVEL COMPUTATIONAL-DERIVED BIOMARKERS.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants MP-470543-006 TOW ARDS A GLOBAL ARRHYTHMIC RISK SCORE FOR ICD PLACEMENT IN ISCHEMIC HEART DISEASE INCORPORATING NOVEL COMPUTATIONAL-DERIVED BIOMARKERS

Reference 5

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This paper cites Additional coils mitigate elevated defibrillation threshold in right-sided implantable cardioverter defibrillator generator placement: a simulation study.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Additional coils mitigate elevated defibrillation threshold in right-sided implantable cardioverter defibrillator generator placement: a simulation study

Reference 6

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This paper cites an unresolved cited work.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Unresolved cited work

Reference 7

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This paper cites Multi-Ethnic Study of Atherosclerosis: Relationship between Left ventricular shape at cardiac MRI and 10-year outcomes.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Multi-Ethnic Study of Atherosclerosis: Relationship between Left ventricular shape at cardiac MRI and 10-year outcomes

Reference 8

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This paper cites Developing Cardiac Digital Twins at Scale: Insights from Personalised Myocardial Conduction Velocity.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Developing Cardiac Digital Twins at Scale: Insights from Personalised Myocardial Conduction Velocity

Reference 9

Resolution: verified exact; doi, observed 2026-08-07T13:47:20.280228Z

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This paper cites Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function

Reference 10

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This paper cites Representation of cardiovascular magnetic resonance in the AHA / ACC guidelines.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Representation of cardiovascular magnetic resonance in the AHA / ACC guidelines

Reference 11

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Observation a735610c-b5d2-4dcd-91aa-61f4286a196d · outbound

This paper cites Surface Mesh Reconstruction from Cardiac MRI Contours.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Surface Mesh Reconstruction from Cardiac MRI Contours

Reference 12

Resolution: verified exact; doi, observed 2026-08-07T13:47:20.148241Z

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This paper cites A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices

Reference 13

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This paper cites CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions

Reference 14

Resolution: verified exact; doi, observed 2026-08-07T13:47:20.018693Z

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This paper cites Accelerating cardiac cine MRI using a deep learning-based ESPIRiT reconstruction.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Accelerating cardiac cine MRI using a deep learning-based ESPIRiT reconstruction

Reference 15

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This paper cites Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging

Reference 16

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This paper cites An accurate, fast and robust method to generate patient-specific cubic Hermite meshes.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants An accurate, fast and robust method to generate patient-specific cubic Hermite meshes

Reference 17

Resolution: verified exact; doi, observed 2026-08-07T13:47:19.796971Z

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This paper cites An Iterative Diffeomorphic Algorithm for Registration of Subdivision Surfaces: Application to Congenital Heart Disease.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants An Iterative Diffeomorphic Algorithm for Registration of Subdivision Surfaces: Application to Congenital Heart Disease

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:26.097072Z

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This paper cites Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank

Reference 19

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This paper cites Biventricular Surface Reconstruction From Cine Mri Contours Using Point Completion Networks.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Biventricular Surface Reconstruction From Cine Mri Contours Using Point Completion Networks

Reference 20

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This paper cites Automated 3D Whole-Heart Mesh Reconstruction From 2D Cine MR Slices Using Statistical Shape Model.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Automated 3D Whole-Heart Mesh Reconstruction From 2D Cine MR Slices Using Statistical Shape Model

Reference 21

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This paper cites A high-resolution atlas and statistical model of the human heart from multislice CT.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants A high-resolution atlas and statistical model of the human heart from multislice CT

Reference 22

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This paper cites Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale

Reference 23

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This paper cites Linking statistical shape models and simulated function in the healthy adult human heart.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Linking statistical shape models and simulated function in the healthy adult human heart

Reference 24

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This paper cites Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI; 2023.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI; 2023

Reference 25

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This paper cites A deep-learning approach for direct whole-heart mesh reconstruction.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants A deep-learning approach for direct whole-heart mesh reconstruction

Reference 26

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This paper cites Learning Whole Heart Mesh Generation From Patient Images for Computational Simulations.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Learning Whole Heart Mesh Generation From Patient Images for Computational Simulations

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This paper cites UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

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This paper cites Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort

Reference 29

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This paper cites A population-based phenome-wide association study of cardiac and aortic structure and function.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants A population-based phenome-wide association study of cardiac and aortic structure and function

Reference 30

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This paper cites Deep Learning for Cardiac Image Segmentation: A Review.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Deep Learning for Cardiac Image Segmentation: A Review

Reference 31

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This paper cites Automatic cardiac cine MRI segmentation and heart disease classification.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Automatic cardiac cine MRI segmentation and heart disease classification

Reference 32

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This paper cites Automated segmentation of 3D cine cardiovascular magnetic resonance imaging.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Automated segmentation of 3D cine cardiovascular magnetic resonance imaging

Reference 33

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This paper cites Deep neural network architectures for cardiac image segmentation.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Deep neural network architectures for cardiac image segmentation

Reference 34

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This paper cites Advancements in cardiac structures segmentation: a comprehensive systematic review of deep learning in CT imaging.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Advancements in cardiac structures segmentation: a comprehensive systematic review of deep learning in CT imaging

Reference 35

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This paper cites nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Reference 36

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Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 37

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This paper cites Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge

Reference 38

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This paper cites AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation; 2022.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation; 2022

Reference 39

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This paper cites Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge

Reference 40

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This paper cites Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:24.034847Z

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This paper cites Echocardiographic measurement of right ventricular wall thickness.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Echocardiographic measurement of right ventricular wall thickness

Reference 42

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This paper cites Anatomy, echocardiography, and normal right ventricular dimensions.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Anatomy, echocardiography, and normal right ventricular dimensions

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:23.778811Z

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Observation 421b7271-4af7-435f-9f6e-91f6a91b2cac · outbound

This paper cites Automating image-based mesh generation and manipulation tasks in cardiac modeling workflows using meshtool.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Automating image-based mesh generation and manipulation tasks in cardiac modeling workflows using meshtool

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:23.662266Z

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Observation 2c790476-7fd7-40c6-9eba-bd99666818ec · outbound

This paper cites Universal ventricular coordinates: A generic framework for describing position within the heart and transferring data.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Universal ventricular coordinates: A generic framework for describing position within the heart and transferring data

Reference 45

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This paper cites A novel rule-based algorithm for assigning myocardial fiber orientation to computational heart models.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants A novel rule-based algorithm for assigning myocardial fiber orientation to computational heart models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:23.426373Z

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Observation 530fc1f0-52d8-4d92-8f45-dc5e4a890dc3 · outbound

This paper cites Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Reference 47

Resolution: verified exact; doi, observed 2026-08-07T13:47:19.351528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a8989214-d23f-4125-babf-5808ae804f8e · outbound

This paper cites A three-dimensional atlas of child’s cardiac anatomy and the unique morphological alterations associated with obesity.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants A three-dimensional atlas of child’s cardiac anatomy and the unique morphological alterations associated with obesity

Reference 48

Resolution: verified exact; doi, observed 2026-08-07T13:47:19.202303Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 780ceb79-089c-4363-b302-816f6c381f5c · outbound

This paper cites Assessing the causal role of body mass index on cardiovascular health in young adults: Mendelian randomization and recall-by-genotype analyses.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Assessing the causal role of body mass index on cardiovascular health in young adults: Mendelian randomization and recall-by-genotype analyses

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:23.180752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 26c2f520-592d-45b0-a1cc-7633d984d83e · outbound

This paper cites A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:22.965235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3c22c956-8f18-432d-9334-81d9ec09cefd · outbound

This paper cites Association of biological age acceleration with cardiac morphology, function, and incident heart failure: insights from UK Biobank participants.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Association of biological age acceleration with cardiac morphology, function, and incident heart failure: insights from UK Biobank participants

Reference 51

Resolution: verified exact; doi, observed 2026-08-07T13:47:19.080044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 63497f0c-07fb-4809-99aa-078e41bbc02c · outbound

This paper cites Estimation of biological heart age using cardiovascular magnetic resonance radiomics.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Estimation of biological heart age using cardiovascular magnetic resonance radiomics

Reference 52

Resolution: verified exact; doi, observed 2026-08-07T13:47:18.899550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 715c9226-e32f-44fb-bfc7-4e3702c2639e · outbound

This paper cites Deep Regression for Biological Age Estimation in Multiple Organs: Investigations on 40,000 Subjects of the UK Biobank.

Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants Deep Regression for Biological Age Estimation in Multiple Organs: Investigations on 40,000 Subjects of the UK Biobank

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:22.777446Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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