Results 31 to 40 of about 3,646 (265)

Digital twin communities: an approach for secure DT data sharing

International Journal of Information Security
Digital Twin (DT) technology empowers organizations to create virtual counterparts of their physical assets, thereby magnifying their analytical, optimization and decision-making capabilities. More specifically, the simulation capabilities of a DT generate high-quality data that not only benefit the DT owner organization, but also increase the ...
Cristina Alcaraz, Iman Hasnaouia Meskini, Javier López 0001   +2 more
openaire   +3 more sources

Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development

2024 International Conference on Ubiquitous Communication (Ucom)
The development of Digital Twins (DTs) represents a transformative advance for simulating and optimizing complex systems in a controlled digital space. Despite their potential, the challenge of constructing DTs that accurately replicate and predict the dynamics of real-world systems remains substantial.
Longfei Ma, Nan Cheng, Xiucheng Wang, Jiong Chen, Yinjun Gao, Dongxiao Zhang, Jun-Jie Zhang   +6 more
openaire   +2 more sources

The financial footprint of Digital Twin integration: A case study on Huawei’s revenues and profits (2008-2024)

Nowoczesne Systemy Zarządzania
Research objectives and hypothesis/research questions In this study, there are two theorized foundations: First-the adopting of Digital Twin technology has a positive impact on the financial performance of the case subject company. Second-the differences
Mohamed Boulesnam, Missoum Bouchenafa, Yehya Aniba, Rezazi Imad   +3 more
doaj   +1 more source

Anatomy-DT: A Cross-Diffusion Digital Twin for Anatomical Evolution

CoRR
Accurately modeling the spatiotemporal evolution of tumor morphology from baseline imaging is a pre-requisite for developing digital twin frameworks that can simulate disease progression and treatment response. Most existing approaches primarily characterize tumor growth while neglecting the concomitant alterations in adjacent anatomical structures. In
Moinak Bhattacharya, Gagandeep Singh, Prateek Prasanna   +2 more
openaire   +2 more sources

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

Large language models forecast patient health trajectories enabling digital twins

npj Digital Medicine
Generative artificial intelligence is revolutionizing digital twin development, enabling virtual patient representations that predict health trajectories, with large language models (LLMs) showcasing untapped clinical forecasting potential.
Nikita Makarov, Maria Bordukova, Papichaya Quengdaeng, Daniel Garger, Raul Rodriguez-Esteban, Fabian Schmich, Michael P. Menden   +6 more
doaj   +1 more source

Spinal Cord Infarction Versus Idiopathic Transverse Myelitis: Clinical, Radiological, and Functional Insights From a Retrospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Spinal cord infarction (SCI) is a rare but devastating myelopathy, characterized by a high disability rate and an unfavorable prognosis. It has often been underdiagnosed and misdiagnosed as idiopathic transverse myelitis (ITM). This study aimed to describe the clinical features, radiological biomarkers, treatments, and functional ...
Zeqiang Ji, Jianlong Zhang, Yiming Shi, Shiyu Shan, Yang Du, Guangshuo Li, Ying Jin, Yani Zhang, Chuanying Wang, Yijun Lin, Yuhao Guo, Decai Tian, Xingquan Zhao, Tian Song   +13 more
wiley   +1 more source

Using Digital Twin Technology in Engineering Education – Course Concept to Explore Benefits and Barriers

Open Engineering, 2020
Digital Twin (DT) technology is an essential technology related to the Industry 4.0. In engineering education, it is important that the curricula are kept up-to-date.
Liljaniemi Antti, Paavilainen Heikki
doaj   +1 more source

Mine Gas Accident Safety Management Based on Digital Twin

Meikuang Anquan, 2020
In order to solve the shortcomings of traditional coal mine safety management, digital twin (DT) is introduced into coal mine safety management. On the basis of the existing digital twin model research, the five-dimensional model framework is selected as
WANG Jiaqi, LU Mingyin
doaj   +1 more source