일시

2013. 3. 19

  내용

장염이 좀 심해서 하루 쉬어야 될것 같습니다.

  일시

2013. 3. 17 ~ 2013. 3. 31

  내용

InCoB 2013

Date: 20-22, Sep, 2013
Venue: Taicang, China
Home page: http://ictbi.imed-cn.org/incob2013/index.php

Important dates:
Early-bird registration until July 15, 2013
Full paper submissions Feb 1 - Mar 31, 2013
Poster and demo abstract submissions Feb 1 - May 11, 2013
Breakout session proposals Feb 1 - May 4, 2013
Author notifications for full paper submissions May 15 - 31, 2013
Author notifications for poster and demo abstract submissions May 15 - 31, 2013
Submission of APBioNET travel fellowship applications May 16 - Jun 16, 2013
Late-breaking abstract submissions Jul 5 - 15, 2013
Conference Sep 20 - 22, 2013

InCoB2013 - 12th International Conference on Bioinformatics

The 12th International Conference on Bioinformatics (InCoB) will be held in Taicang, China, on Sep 20-22th, 2013. The main hosts are Taicang Center for Translational Bioinformatics (TCTB), the first platform of translational bioinformatics in China, and Center for Systems Biology (CSB), Soochow University, one of the research and education pioneer in China in the field of Systems Biology.

It has overall objective to provide a platform for experts and budding bioinformaticians to discuss and exchange ideas and thoughts on the development of bioinformatics in the Asia Pacific region. Beginning in 2002, InCoB has grown to become one of the largest bioinformatics conferences in the Asia-Pacific region. This annual conference exhibits the latest researches and technologies in all areas of bioinformatics and now it is attended by practitioners from both biology fields and computing backgrounds in the Asia-Pacific region.

The theme for InCoB2013 will be "Biomedical Informatics in the Big Data Era: Data-Driven Biology and Medicine". Therefore, the conference aims to promote the integration of bioinformatics, imaging informatics, clinical informatics and health informatics for understanding of complex biological and medical phenomenon as well as to encourage the exchange of scientific breakthrough amongst participants. InCoB2013 will include the latest bioinformatics and related topics on translational bioinformatics, population genetics, drug design and discovery, biomarker identification, systems biology, biological sequence analysis, expression data analysis, scalable data storage and other relevant subjects.

Besides InCoB2013, the 2nd International Conference on Translational Biomedical Informatics (ICTBI 2013) is jointly hosted by TCTB and CSB at the same time period and venue.

  일시

2013. 3. 18 ~ 2013. 3. 31

  내용

Special Focus Issue on Electronic Health Records-Driven Phenotyping

March 31, 2013: Manuscript submission deadline
May 31, 2013 (expected): Initial decisions sent to authors
June 30, 2013 (expected): Revised manuscript submission deadline
August 31, 2013 (expected): Final decisions sent to authors

홈페이지: http://jamia.bmj.com/site/misc/JAMIA-Special-Issue-Phenotyping-FINAL.pdf

JAMIA Call for Papers: Special Focus Issue on Electronic Health Records-Driven Phenotyping

Guest Editors
• Jyotishman Pathak (Mayo Clinic, Rochester, MN, USA)
• Joshua C. Denny (Vanderbilt University, Nashville, TN, USA)
• Abel N. Kho (Northwestern University, Chicago, IL, USA)

Description of the Special Issue

The identification of patient cohorts for clinical and genomic research is a costly and timeconsuming
process. This bottleneck adversely affects public health by delaying research findings,
and in some cases by making research costs prohibitively high. To address this issue, the
leveraging of electronic health records (EHRs) to identify patient cohorts has become an
increasingly attractive option. With the rapidly growing adoption of EHR systems due to
Meaningful Use, and linkage of EHRs to research biorepositories, evaluating the suitability of
EHR data for clinical and translational research is becoming ever more important, with
ramifications for genomic and observational research, clinical trials, healthcare delivery research
and comparative effectiveness studies.

A key component for identifying patient cohorts in the EHR is to define inclusion and exclusion
criteria that algorithmically select sets of patients based on stored clinical data. This process,
commonly referred to as EHR-driven phenotyping, allows the definition of phenotypes over
structured data (e.g., demographics, diagnoses, medications, and laboratory measurements) as
well as unstructured clinical text (e.g., radiology reports, encounter notes, discharge summaries).
In general this process can be quite complex, involving heuristics encoded as rules or machine
learning algorithms. The goal of this special issue of the Journal of American Medical
Informatics is to provide a forum for presenting methodologies, tools, and algorithms to enable
high-throughput phenotype extraction from EHR data. Submissions from outside the USA
describing generalizable experiences are highly encouraged.

Topics of Interest

Possible topics include, but are not limited to:

- Novel architectures for facilitating high-throughput phenotyping from EHRs
- Natural language processing (NLP) and text mining methods for phenotype extraction
- Cost-benefit analyses of electronic phenotype identification in healthcare settings
- Evaluation of transportability of phenotyping methods and reuse of existing phenotype
algorithms across different healthcare settings, EHR systems, and component systems
(e.g., different NLP systems when applied to EHR data)
- Standards-based representation and modeling of phenotyping algorithms
- Machine learning approaches to developing and validating phenotyping algorithms
- Data mining of EHR data for clinical discovery
- Methods and platforms for semi-automated execution of phenotyping algorithms
- State-of-the-art surveys in phenotyping methods, tools and techniques
- Secondary uses of EHR data for genomics, epidemiology, comparative effectiveness
research, healthcare quality and deliver research, clinical decision support, etc.
- Evaluation of EHR data extraction accuracy (e.g., accuracy of structured billing codes)
and data cleaning methods
- Quality of patient-reported outcomes that are incorporated into the EHR, data
harmonization across various healthcare institutions
- Comparison of different EHR systems in terms of how various coding systems can be
accommodated, how flexible the systems are in allowing users to structure clinical
information, etc.
- Ethical aspects of utilizing EHR for research, informed consent practices, standardized
data use agreements, differences in regulations across institutions, states and countries
Authors should make sure to place their work in the context of biomedical research or healthcare,
and to carefully review the relevant literature. Research articles, case studies, and brief
communications should describe clear evaluation strategies and quantitative or qualitative results,
and discuss how results could be generalized to other settings. Reviews should be systematic.
Perspectives should provide consensus of a group of experts who are highly experienced in the
topic, and should demonstrate command of the existing literature. Open-source software code and
data should be submitted, as well as data when appropriate.

Important Dates

March 31, 2013: Manuscript submission deadline
May 31, 2013 (expected): Initial decisions sent to authors
June 30, 2013 (expected): Revised manuscript submission deadline
August 31, 2013 (expected): Final decisions sent to authors

Submission and Peer Review Process

To ensure consideration in the special issue, authors should note in a cover letter that their
submission is for the “Special Issue on Electronic Health Records-driven Phenotyping”. Detailed
information for online submission to JAMIA is available via http://jamia.bmj.com.
All manuscripts will be subject to the rigorous JAMIA peer-review process. Manuscripts that are
considered within scope and meet quality expectations will be reviewed by a minimum of two
experts for scientific merit. Assistance of a native English speaker is highly recommended prior
to submission. Authors should format and structure their manuscripts according to the guidelines
specified at: http://jamia.bmj.com/site/about/guidelines.xhtml. Accepted articles may appear in
print or in an online JAMIA issue.

Questions Regarding the Issue

Please direct any questions regarding the special issue to jamia-phenotyping@googlegroups.com.

  일시

2013. 3. 18 ~ 2013. 3. 20

  내용

TBI 2013

Date: Mar 18, 2013 - Mar 20, 2013
Venue: San Francisco, USA
Home page: http://www.amia.org/jointsummits2013/tbi-call-papers

Important Date
Paper Proposals Due: 9.27.2012
Panels/Posters/Podium Abstract Proposal Due: 10.11.2012

The American Medical Informatics Association (AMIA) is pleased to invite submissions for the 2013 Summit on Translational Bioinformatics (TBI), to be held March 18-20, 2013 at the Parc 55 Hotel San Francisco, CA. The Summit will be part of the Joint Summits on Translational Informatics and will be immediately followed by the Summit on Clinical Research Informatics (CRI) at the same venue March 20-22.

Through Papers, Podium Presentations, Panels and Posters, the 2013 TBI Summit will showcase the latest advances in bioinformatics methodology, their application in research, and, increasingly, in actual clinical care.

With an emphasis on cutting edge and late breaking developments, we anticipate that the TBI Summit will continue to be the premier venue for showcasing the latest informatics research at the dynamic interface of biomedical research and patient care. We look forward to your submissions and to a rich program of cutting-edge, innovative approaches in the field of Translational Bioinformatics.

Learning Objectives

The objectives of the AMIA 2013 Summit on Translational Bioinformatics are to:

Present the latest progress on the development and application of informatics approaches to improve translational biomedical research
Demonstrate how bioinformatics can enhance clinical research, personalized medicine, and healthcare delivery
Identify the current challenges of translational bioinformatics, articulate opportunities, and to define the future directions
Identify areas of interaction among computational biology, genomics research, statistical genetics, electronic health records, health information exchanges, and public health
Improve understanding of the context in which translational bioinformatics initiatives are developed, deployed and assessed
Share research-related issues among the nationwide initiatives on translational research informatics, such as CTSAs, NCBCs, caBIG, etc.

Target Audience

Biomedical and health informatics researchers and faculty
Bioinformaticians, statistical geneticists, molecular biologists, and physician-scientists with interests "in–omic" data types in humans
Clinical and Translational Science Award (CTSA) Consortium members
Computer scientists and system developers
Computational biologists with interests in human disease
Genome science ethicists, lawyers, and policy experts
Government officials and policy makers
Health information and knowledge management professionals
HIT industry professionals and consultants
Industry representatives related to bioinformatics and genomics
Physicians, nurses, dentists, pharmacists, and other clinicians
Public health informaticians/practitioners, patient advocates, consumer advocates, and disease management specialists
Standards developers