Modeling of Distributed Parameter Systems
Research team
Paula Raica, Liviu Miclea, Sorin Herle, Mihaela Manisor, Ioana Vatajelu
Research fields
- Modeling of biomedical processes
- development of mathematical models and qualitative analysis
- analysis of experimental aspects and validation of biological systems
- implementation of numerical algorithms and computer simulation of
- angiogenesis
Modeling and analysis of isotope separation processes
- modeling of distributed parameter systems with special emphasis on isotope separation processes by chemical exchange gas-liquid and chromatographic separations
- process simulation: numerical methods for process dynamic simulation, implementation of numerical algorithms.
Recent research projects
”ANGIOTUMOR - The prediction of the evolution and the assessment of the treatment’s response for malignant tumours using morphological and hemodinamic modelling through imagistic, mathematical and artificial intelligence techniques”, national research grant funded by ANCS, CEEX 138/2006 (2006-2008).
”OSMOCEL - Methods and technologies based on molecular and cellular medicine applied in surgery and treatment of bone cancer, bone metastases and osteoarticular lesions ”, national research grant funded by ANCS, CEEX, no.41050/18.09.2007, (2007-2010).
”SIASI – Development of the separation technology for 15N at a concentration of 99%at. 15N, necessary for obtaining the nitride-type nuclear fuel”, national research grant funded by ANCS, CEEX, 74/2006 (2006-2008).
Publications
P. Raica, D. Axente, ”Modeling and steady-state analysis of 15N isotope separation by chemical exchange in Nitrox system”, Proceedings of the 5th Conference on Isotopic and Molecular Processes, PIM, Cluj-Napoca, 20-22 Sept.2007.
P. Raica, D. Axente, “Analysis of 235U enrichment by chemical exchange in U(IV) - U(VI) system on anionite”, Separation Science and Technology, vol. 42, no. 5, January 2007, pp. 1065-1077.
M. Manisor, I. Vatajelu, P. Raica, L. Miclea, O. Mosteanu, T. Pop, R. Badea, ”Analysis of the Dynamic Behavior of Tumor Induced Angiogenesis based on Continuous Models”, International Conference on Advancements of Medicine and Health Care through Technology, MediTech 2007, Cluj-Napoca, Romania, 27-29 Sept. 2007, pp. 365-370.
I. Vatajelu, M. Manisor, P. Raica, L. Miclea, T. Pop, O. Mosteanu, R. Badea, ”Time Dependent Mathematical Model and Simulation of Tumor-Induced Angiogenesis based on Enzyme Kinetics”, International Conference on Advancements of Medicine and Health Care through Technology, MediTech 2007, Cluj-Napoca, Romania, 27-29 September, 2007, pp. 303-308.
T. A. Pop, O. Mosteanu, R. Badea, M. Lupsor, S. Tripon, P. Raica, M. Manisor, L. Miclea, „Role of Imaging and Modelling in Tumoral Liver Blood Flow Assessment”, International Conference on Advancements of Medicine and Health Care through Technology, MediTech 2007, Cluj-Napoca, Romania, 27-29 Sept. 2007, pp. 223-226.
O. Mosteanu, T. Pop, R. Badea, M. Lupsor, H. Stefanesu, P. Raica, I. Vatajelu, L. Miclea, „Role of Imaging and Modelling in Hepatocellular Carcinoma Angiogenesis Noninvasive Assessment”, International Conference on Advancements of Medicine and Health Care through Technology, MediTech 2007, Cluj-Napoca, Romania, 27-29 Sept. 2007, pp. 207-210.
T. Pop, O. Mosteanu, P. Raica, R. Badea, L. Miclea, ”Role of Imaging and modelling in tumour angiogenesis noninvasive assessment”, 2nd International Conference on Intelligent Computer Communication and Processing, IEEE -ICCP 2006, Cluj-Napoca, Romania, Sept 1-2, 2006, pp. 83-88.
T. Pop, O. Mosteanu, P. Raica, R. Badea, L. Miclea, “Analysis of the dynamic behaviour of malignant tumours using mathematical models and ultrasound parameters – a survey”, Proceedings of the IEEE-TTTC, International Conference on Automation, Quality and Testing, Robotics, AQTR 2006 (THETA 15), Cluj-Napoca, Romania, May25-28, 2006, pp. 433-436.
Research description
ANGIOTUMOR - The prediction of the evolution and the assessment of the treatment response for malignant tumours using morphological and hemodinamic modelling through imagistic, mathematical and artificial intelligence techniques
Introduction
Tumor angiogenesis and metastasis control represents a major aim in human cancer treatment. Obtaining a mathematical model has benefits that are being recognized more and more in medicine and bioscience. A detailed and precise prediction of the changing of therapy parameters is far from a physician’s abilities. The mathematical models will help us to understand, predict and design these treatments. The mathematical modelling will become a valuable device for understanding the complexity of the tumor development and the oncological therapy.
Objectives
The purpose of the project is to generate abstract systems of simulation in order to assess the spatial and temporal development of the tumor neovasculature and the cancer evolution and prognostic.
- the evaluation of malignant tumor neovasculature using high performance US,
immunohistochemical methods, cell-cultures, mathematical, imagistic and
evolutional modeling
- analysis of angiogenesis for the prediction of the malignant tumors evolution
development of quantitative methods for description of the malignant tumors’
dynamics and treatment response
Results
The development of the imagistic and mathematical models of a tumor’s neovasculature and growth pattern which will enable us to assess the general and individual features of angiogenesis in different types of tumours.
The development of an intelligent system for the prediction of the evolution and the treatment response, which might be applied on the long term in virtual trials for the pharmaceutical industry.
The possibility of the evolution and the treatment response prediction for other malignant tumors.
The development of a computerized system in order to help the medical decision.
The development of multidisciplinary clusters in bioscience and applied mathematics.