会议名称(中文)： 2014年国际保健创新模拟研讨会
会议名称(英文)： The International Workshop on Innovative Simulation for Health Care
所属学科： 生物医学工程学,控制系统仿真技术
开始日期： 2014-09-10
结束日期： 2014-09-12
所在国家： 法国
所在城市： 法国
具体地点： Bordeaux, France
主办单位： University of Bordeaux
[ 重要日期 ]
全文截稿日期： 2014-04-15
论文录用通知日期： 2014-05-15
[ 会务组联系方式 ]
联系人： Francesco Longo
E-MAIL： f.longo@unical.it
会议网站： http://www.msc-les.org/conf/iwish2014/index.htm
会议背景介绍：
A holistic view of healthcare leads to an interdisciplinary field of research ranging from life-science to management disciplines. The increasing computational power and the tight integration of natural and computational sciences open the doors to new paradigms in life science research. The huge complexity of biological systems let deterministic and deductive methods reach their limitations, thus large scale simulations together with advanced methods of modelling are new tools to get insight into the huge diversity of healthcare. This workshop, part of the I3M Multiconference, aims to bring together scientists from engineering, natural and life sciences to stimulate discussion on new methods and topics in the emerging field of healthcare. Tracks shall cover the main aspects of healthcare. It shall not only provide a forum for presentation of novel approaches and methods of advanced simulation for both modelling and analysis but also provide meaningful results and applications. We welcome high-quality, original scientific contributions and will consider them for publication.
征文范围及要求：
Topics:
Computer aided diagnostics and therapy
· Modelling and simulation in bio-systems, physiology, cardiology, anaesthesia, cancer, circulatory system, respiratory system, renal system, biomechanics,
· Virtual Reality in surgical procedures,
· Virtual Reality for the treatment of disorders and/or rehabilitation,
· Virtual Reality for development and validation of medical simulators
· Model based information processing of medical images,
· Advanced methods in model based image processing,
· New methods of diagnostic imaging,
· New paradigms in functional imaging, e.g. PET and MR,
· Reconstruction in computed tomography,
· Model based segmentation and registration,
· Simulation in the context of diagnostics,
· Simulation of emergency procedures (disaster gaming),
· Simulation of disease proliferation,
· Disease management,
· Healthcare networks,
· Clinical information flows.
Cellular and Molecular Models in Medicine
· Simulation in genetics and system biology,
· Simulating biological phenomena and organs,
· Modeling and recognition of regulatory motifs and modules,
· Pharmacometric modelling,
· Physiological simulations,
· Drug inventory management,
· Personalized drugs design
· Algorithms in DNA analysis
· Tissue engineering
· Molecular tumour diagnostics
· Novel methods in DNA arrays
· Protein structure analysis
· Regulatory networks, metabolic networks, proteomic networks,
· Databases in Bioinformatics
· Protein ontology data bases
· Novel HPC-paradigms in Bioinformatics
Management of Healthcare
· Waiting time issues in hospitals,
· Patient pathways,
· Modelling Emergency Departments,
· Modelling ancillary services,
· Patient flows in outpatient facilities,
· Simulation for surgical and clinic scheduling,
· Simulation for logistics of healthcare,
· Simulation of patient care;
· Models of elderly people care,
· Healthcare policy analysis,
· Ambulance planning,
· Simulation for health economics analysis
· Modelling of clinical environments;
Modeling and Simulation for Biosciences and Bioinformatics
Exploratory Bioinformatics and Computational Biological models, simulations and tools for helping Bioscientists
Modeling and simulation as decision support for assisting Bioscientists and Medical practitioners
Agent-based Modeling and simulation for Biological Systems, Healthcare facilities or Social Systems etc.
Verification and Validation of Biological Simulations
Equation based Modeling of Biological Systems
Development and analysis of Complex Biological and Social Networks (Formal Specification, Modeling, Analysis and Simulation)
Modeling and Simulation in System Biology
Modeling and simulation of congenital disorders
Modeling and simulation of epidemics and other diseases
HIV/AIDS related M&S
Tumor Growth modeling and Simulation
Distributed Simulation of Biological Systems
Formal Specification and Models such as using Z formal specification language, Systems Biology Markup Language (SBML) etc.
Use of Cognitive Computation and AI techniques such as Neural Networks, Genetic Algorithms, Bio-inspired techniques, swarm intelligence algorithms for developing models of Biological systems
Modeling and Simulation of Body Sensor Networks for e-Health
Modeling and Simulation of Pervasive and Ambient Assisted Living systems, Disease Tracking and Monitoring systems
Artificial Life related topics |
