Spotlight of Our Projects
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Spotlight of Our Projects
Nano-enhanced Thermal Therapy (Nano Hyperthermia) (nanoHT)
A thermotherapy (hyperthermia) can be regionally applied to a target tumor or to whole body, depending on the tumor position, the stage, and the health status of cancer patients. The major challenge in hyperthermia is to develop an efficient and clinically applicable method of providing a heat source I order to increase the tumor temperature for killing the tumor cells, while the normal cells remains alive. The temperature should be controllable. Nanothermotherapy has recently become a renewed research and clinical field that brings high promise and excitement to health care. One of the outstanding uses of nanothermotherapy in clinical trials is to induct ferromagnetic or superparamagnetism (SPM) nanoparticles into a regional tumor by injection or into the whole body of a patient by blood perfusion. By applying an external electromagnetic field, the nanoparticles help increase temperature and reorient the direction to target the tumor. The temperature profile in the tumor region is extremely sensitive to the result of the thermotherapy. The temperature distribution is influenced by a numerous of factors. Various effects should be intensively studied. The study requires a cross-domain research on the interactions of hyperthermia with tumor biological metabolism and its environments, angiogenesis and vasculature, blood perfusion, therapeutic gain of heat, the changes of tissue biophysical properties during therapeutic processing, as well as the inducted nanomaterials. The associated multi-scale model should be incorporated into a tool to evaluate the therapy functions, features, and final effects for health can safety using nanoparticles. The model must be on multi-scales (nano-/micro-/macroscopic) in the physiological and biophysical system, in where chemical and physical transport phenomena take place. The lack of such model inspirits this challenging project.
This project aims to develop a software tool that has a generic, multi-scale, and multi-medium mathematical model of bio-EM-transport phenomena in hyperthermia. The model accounts for the therapeutic process parameter analysis and design, nanoparticles motion, size, shape, microscopic cell structure and vasculature, micro-fluid vessel perfusion, all the transport conservations with physics-based constitutional laws and supplemental models, interfacial/interstitial and heat and mass transfers (including blood perfusion expressions, chemical reactions during metabolism, etc.). The model equations will be implemented numerically and conducted using high performance computing systems. The model and simulation help to develop a clinical computer-aided design (CCAD) for future nanothermotherapy.
Medical Imaging and Radiology Informatics
Study of integrated systems for medical image informatics and radiology informatics, including fundamental medical imaging, image data processing, conversion, transferring, achieving/retrieving, PASC, DICOM and HL health and industrial standards, software developments, integrations of health (hospital or clinics) information systems (HIS or CIS) and/or radiology information systems (RIS), medical image data mining, knowledge-based system, cutting-edge technology of workflow, computer-aided diagnostics, image-guided surgery, clinical translational sciences and technology transferring, visualization in human body systems, molecular imaging, radiation protection in diagnostic systems and theory, and , relationships between medical imaging and other bioscience and bioinformatics domains and new discoveries. The projects includes experiments and implementations of PACS systems, digitalization of medical image and radiology, medical image acquisitions, data standards, medical image data transfer, communications and networking, medical image data achieving and retrieving, research data backup systems, medical image data mining, medical image database and data management systems, medical image information system security (data security, confidentiality, and patient information security, etc.)
SoSE for Integrating Health Environment (SoSiHe)
System of Systems becomes an emergent technology to engineering a system which composed of multi-systems. The system of systems concept has been recently used widely in many fields including energy, transportation, military, aerospace science, environmental science, and disaster prediction etc. This project intends to employ the system of systems (SoS) engineering principles and simulation technology to experiment for the integrating the healthcare environment and today's net-centricity, information driven, integrated healthcare systems.
In such system, networking, and could computing, especially social behavior studies become important. We accomplished following tasks:
Conduced a large numbers of literature studies and contributing a research report on the topics of healthcare information systems integrations including networking, distributed computing, cloud computing, especially behaviors of systems and systems modeling
Explored some popular algorithm of complex networks and multi-agents and summarizing these algorithm for global level healthcare medical data sharing and healthcare information systems
Applied some popular algorithm of machine learning on general graph structures, hierarchical structure models to study the methods for analyzing the network structure at varying levels of resolution; The machine learning and artificial intelligent algorithms will be used in data mining and stochastic modeling and simulations for intelligent network systems in healthcare environments
Conducted some methods of multi-scale information system simulations and parallel discrete-event simulations using supercomputing and large-scale medical data intensive computing
Utilized some methods of multivariate time-varying statistics to analyze the network evolves and large-scale emergent behavior changes in healthcare systems; especially in spatial-temporal behaviors study including emergent and immune, and self-organizations in patients electronic record security protection. Design an efficient algorithm for group and organization activities dynamics, especially dynamic and social networks using systems dynamics theory and computational thinking mechanism.