일시

2014. 9. 17 ~ 2014. 9. 19

  내용

15th International Conference on Human Genome Variation and Complex Genome Analysis (HGV2014)

belfast, Northern Ireland
17th - 19th September, 2014


Important Dates

The deadline for abstract submission : 1st June 2014


HGV2014 will bring together approximately 180 delegates (selected on the basis of their abstract submission) in a workshop-style atmosphere, with 25 internationally recognized speakers, in a superb venue, the Culloden Estate and Spa in Belfast, Northern Ireland from 17th – 19th September 2014.

Application and abstract deadline: 1st June 2014 (See Registration for more details)

Scienctific topics include:

Clinical NGS (including cancer genomics and rare disease diagnosis)
Epigenomic variation (including that found in the single cell)
Large scale population studies of human disease
Stratified and Personalised medicine
Data and knowledge sharing/discovery (including the Global Alliance for Genomics and Health)
Biomedical informatics
Genomic evolution
Genomic technology advances
Human mosaicism & aging
This residential conference provides the opportunity for you to interact with an unrivalled international faculty in an environment which promotes discussion and consideration of the key technologies and advances that will inform the development of this important discipline over the coming years. We look forward to welcoming you to this state of the art conference in a venue where you will have excellent opportunities to interact with fellow conference participants and invited faculty.

  일시

2014. 9. 16 ~ 2014. 9. 29

  내용

IEEE J for Biomed & Health Inform special issue on BIG DATA for Health
http://jbhi.embs.org/special-issues/big-data-health/

Important Dates:
Deadline for Submission: 29 September 2014
First Reviews Due: 1 December 2014
Final Decision: 18 February 2015


Scope:
In promoting big-data as a source of innovation in healthcare and accelerating the translational pathways from the laboratory bench to the patient’s bedside, the purpose of this special issue is to address the latest technical development and practical applications of big-data for health. Specific focus will be placed on the impact of big-data on bioinformatics, imaging informatics, sensor informatics, medical informatics and public health informatics, including initiatives that enable use of big-data analytics in health systems for improved clinical decision making, enhanced efficiency of care provision, policy development and policy implementation.
The topics of the special issue include, but are not limited to:
Multiple-omics comparisons and analyses (inclusive of deep sequencing);
Emerging informatics framework for big-data, as well as programming models and environments to support big-data for health;
Big data analytics, machine learning algorithms and scalable/parallel algorithms (e.g. including the map-reduce paradigm) for biomedical and health informatics;
Data fusion, integration, knowledge management and engineering; novel visualisation methods and scalable search architectures;
Socio-legal and ethical issues related to big data in the context of privacy and security – data preservation, provenance, protection, as well as data integrity and privacy standards and policies;
Incorporation of behavioural data through pervasive sensing and social media for promoting personal health, disease prevention and population health management;
Applications of big-data for drug discovery and development, stratified patient management, targeted therapy and minimally invasive surgery, chronic and infectious diseases, outcomes research, coordinated care, environmental health, social health and informatics underpinning major disease management (e.g. neurological disorders, cancer, cardiovascular diseases, diabetes and obesity);
Big data and analytics for improving management of healthcare institutions to enhance efficiency, effectiveness and equity;
Novel approaches, with illustrative country case studies on use of big-data and innovative analytical approaches for measuring health system performance, policy analysis and development, and resource allocation.
Priorities will be given to papers reporting original work supported by large cohort studies with clearly demonstrated clinical translational values supplemented by on-line data sets or algorithms that can be shared by the research community.

  일시

2014. 9. 19

  내용

개인사정으로 자리비웁니다.