Branch Mathematics and Statistics Faculty and Staff Publications
Document Type
Article
Publication Date
11-2016
Abstract
This paper presents relevant aspects of the idea of using the digital medicine in cancer, so that to shape a viable strategy for creating and implementing an interactive digital platform, NEO-VIP, that should be the basic support to design the strategy for integration of basic, clinical and environmental research on neoplasia progression to cancer. The two main components of the VIPRO Platform are represented by the workstation “Engineering Station” for CPS (Cyber Physical System) and “omics” technology and by the “Graphical Station” for the development of a virtual mechatronic system environment and virtual reality for system components' motion. The NEO-VIP Platform will consolidate the collaboration of specialized institutions in IT, medicine, health, life standards so that to enhance their capabilities to work as a consortium. The results lead to the possibility developing NEO-VIP Platform in the IT modelling field, applied on bio-medical data, as a new player alongside with the existing ones. So, new improved methodologies for investigating social implications of machines working with and for people will be applied.
Publication Title
Proceedings of the 2016 International Conference on Advanced Mechatronic Systems, Melbourne, Australia, November 30 - December 3, 2016
First Page
1
Last Page
6
DOI
http://doi.org/10.5281/zenodo.888860
Language (ISO)
English
Keywords
intelligent control systems; cyber physical system, “omics” technology; modelling system; virtual reality; digital medicine in cancer
Recommended Citation
Luige Vladareanu, Mihaiela Iliescu, Hongbo Wang, Feng Yongfei, Victor Vladareanu, Hongnian Yu, & Florentin Smarandache. (2016). CSP and "omics" Technology Applied on Versatile and Intelligent Portable Platform for Modeling Complex Bio-medical Data. In Proceedings of the 2016 International Conference on Advanced Mechatronic Systems, Melbourne, Australia, November 30 - December 3, 2016. 6 pages. http://doi.org/10.5281/zenodo.888860
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Included in
Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons, Bioinformatics Commons, Cancer Biology Commons, Mathematics Commons