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- Sakkalis, Vangelis, et al.
(författare)
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Web-Based Workflow Planning Platform Supporting the Design and Execution of Complex Multiscale Cancer Models
- 2014
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Ingår i: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. - 2168-2194. ; 18:3, s. 824-831
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Tidskriftsartikel (refereegranskat)abstract
- Significant Virtual Physiological Human efforts and projects have been concerned with cancer modeling, especially in the European Commission Seventh Framework research program, with the ambitious goal to approach personalized cancer simulation based on patient-specific data and thereby optimize therapy decisions in the clinical setting. However, building realistic in silico predictive models targeting the clinical practice requires interactive, synergetic approaches to integrate the currently fragmented efforts emanating from the systems biology and computational oncology communities all around the globe. To further this goal, we propose an intelligent graphical workflow planning system that exploits the multiscale and modular nature of cancer and allows building complex cancer models by intuitively linking/interchanging highly specialized models. The system adopts and extends current standardization efforts, key tools, and infrastructure in view of building a pool of reliable and reproducible models capable of improving current therapies and demonstrating the potential for clinical translation of these technologies.
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| 2. |
- Yang, Geng, 1980-, et al.
(författare)
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A Hybrid Low Power Biopatch for Body Surface Potential Measurement
- 2013
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Ingår i: IEEE Journal of Biomedical and Health Informatics. - : IEEE Computer Society. - 2168-2194. ; 17:3, s. 591-599
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents a wearable biopatch prototype for body surface potential measurement. It combines three key technologies, including mixed-signal system on chip (SoC) technology, inkjet printing technology, and anisotropic conductive adhesive (ACA) bonding technology. An integral part of the biopatch is a low-power low-noise SoC. The SoC contains a tunable analog front end, a successive approximation register analog-to-digital converter, and a reconfigurable digital controller. The electrodes, interconnections, and interposer are implemented by inkjet-printing the silver ink precisely on a flexible substrate. The reliability of printed traces is evaluated by static bending tests. ACA is used to attach the SoC to the printed structures and form the flexible hybrid system. The biopatch prototype is light and thin with a physical size of 16 cm x 16 cm. Measurement results show that low-noise concurrent electrocardiogram signals from eight chest points have been successfully recorded using the implemented biopatch.
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