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101 results for “Digital Twin”
Development and Validation of a Digital Twin-based Clinical Research System (X Town Stage I)
ClinicalTrials.gov study NCT06861283. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Creation of a Digital Twin for Predicting the Progression of Patients With Chronic Thoracic Aortic Dissection
ClinicalTrials.gov study NCT07315178. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Digital Twin for Exoskeleton Pilot
ClinicalTrials.gov study NCT05650255. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Management of Skeletal Class III Malocclusion With Digital Bonded Reverse Twin Block in Mixed Dentition
ClinicalTrials.gov study NCT07376954. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Patient-specific Finite Element Analysis of Immediate Loading in the Edentulous Maxilla: Comparison of Three Implant Configurations Using Digital Twins.
ClinicalTrials.gov study NCT07266896. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Longitudinal Clinical Observation of a Digital Twin Model for Blastocyst Evaluation in IVF Clinics
ClinicalTrials.gov study NCT07305480. IPD Sharing: NO. Countries: 1. Publications: 0.
Developement of Stroke Prognosis Predictive Precision Medicine Based on a Digital Twin
ClinicalTrials.gov study NCT06035198. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Digital Twin - Modelling Postprandial Triglyceride and Glucose Responses
ClinicalTrials.gov study NCT05313594. IPD Sharing: NO. Countries: 1. Publications: 0.
Edge AI-deployed DIGItal Twins for PREDICTing Disease Progression and Need for Early Intervention in Infectious and Cardiovascular Diseases Beyond COVID-19 - Investigation of Biomarkers in Dermal Inte
ClinicalTrials.gov study NCT06200636. IPD Sharing: NO. Countries: 1. Publications: 0.
Protocols and Guidelines for the Use of Digital Twins in Frail Older People
ClinicalTrials.gov study NCT05854316. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Randomized Controlled Trial of Digital Twin Precision Treatment: A Novel Whole Body Digital Twin Enabled Precision Treatment for Type 2 Diabetes
ClinicalTrials.gov study NCT05181449. IPD Sharing: NO. Countries: 1. Publications: 0.
Stratification, Management, and Guidance of Hypertrophic Cardiomyopathy Patients Using Hybrid Digital Twin Solutions
ClinicalTrials.gov study NCT07131371. IPD Sharing: YES. Countries: 1. Publications: 0.
Digital twins for in vivo metabolic flux estimations in patients with brain cancer
GEO Series GSE311151. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Network analyses of single cell-based digital twins for individualized treatment of antigen induced arthritis in mice.
GEO Series GSE193536. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Digital twins for in vivo metabolic flux estimations in patients with brain cancer II
GEO Series GSE311464. Homo sapiens; Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
[SUMMER - Digital_Twin_beta_release_geospatial_platform_2024-04-29]
<p><span>Source code of the actual Digital Twin (beta version)</span></p>
dTwin4SkullShapes: a Digital Twin Dataset of Human Skull Shapes for Skull Missing Vs. Existing Part Learning and Prediction
<p>This dataset include the total of 757 human skulls reconstructed from computed tomography (CT) image sets. The CT image sets were constructed from the three main databases: (1) The Cancer Imaging Archive (DOI: 10.7937/TCIA.HMQ8-J677), (2) The New Mexico Decedent CT Images (DOI: 10.1055/s-0041-1730999), and (3) The MGU500+ (DOI: 10.1016/j.dib.2021.107524). The selected skull image sets have normal and full skull structures. We employed the voxelization technique to reconstruct skull meshes from CT image slices of each subject. The skull meshes were stored in *.off files. For each skull mesh, we estimated the skull shape by estimating the alpha shape of the skull meshes and stored in *.off files. The feature points on the skulls were also manually picked and stored in *.csv files with the form of 16x3 matrices, in which 16 is the number of feature points. A template skull shape was also deformed to the skull shapes of all subjects and stored in *.off files. The deformed skull shapes have unified skull feature points throughout all subjects. Moreover, we also added the source codes of the project. The details of the dataset were presented in the ReadMe.txt file. More details of how to use the source code project and the dataset were presented in the dTwin4SkullShapeTutorials.pdf file.</p>
Video Showcasing the Digital Twin Developed for PRECINCT Living Lab 1 (Ljubljana)
<p>This video showcases the digital twin that was developed as part of LL1 (Ljubljana) in the PRECINCT Project.</p>
Machine Learning Based Digital Twin in Manufacturing: A Bibliometric Analysis and Evolutionary Overview
<p>The data files include bibliometric file. data extracted from bibliometric data.</p>
An Exploratory Study on the Application of Digital Twins in the Indian Construction Industry - Survey Data
<p>The data collected from the industry experts for Digital Twin in Indian Construction Industry</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.