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[ncbo-publictalks] REMINDER: NCBO Seminar Series-Meeting Info for Wed, Oct. 8!

Kanel, Shauna Bella skanel at stanford.edu
Tue Oct 7 10:33:27 PDT 2008


Hello,

Please join the NCBO for an online Seminar Series presentation TOMORROW,
October 8th, at 10am PDT. 

Below is Information on how to join this week's online meeting and
accompanying teleconference. This week's meeting, Ontology-Based
Annotation of Biomedical Time Series Data, will be presented by Dr.
Raimond Winslow, Director of the Institute for Computational Medicine,
Johns Hopkins University. To see the abstract for this presentation,
please visit: http://www.biontology.org/videos/time_series_data.html.

Please email me with any questions at skanel at stanford.edu. As always,
information about the series, including the schedule and videos of
previous sessions can be found at
http://www.bioontology.org/seminar_series.html.

We hope to see you there.

 

Ontology-Based Annotation of Biomedical Time Series Data

Abstract: Almost one million Americans die of cardiovascular (CV)
disease each  year. More than 70 million Americans live with some form
of heart disease. Understanding the cause and treatment of CV disease
will require a truly integrative approach, spanning the molecular to the
systems level. Clinical studies collecting multi-scale data (e.g., gene
sequence, mRNA expression, protein expression, multi-modal imaging, and
clinical data) from subjects in large cohorts are already underway. 

 

Each of these studies face a common challenge - how to integrate and
explore these data to identify the phenotype of specific CV diseases,
and to discover features that predict disease risk, treatment, and
outcome. Recently, the CardioVascular Research Grid (CVRG) project has
been established to develop and deploy resources for representing,
federating, sharing, and analyzing multi-scale CV data. This project is
using emerging standards for describing diverse types of biomedical
data. However, it is remarkable that there is currently no comprehensive
ontology or data model for describing the single most commonly collected
biomedical time-series data type in modern health care, the
electrocardiogram (ECG).

 

In this Driving Biological Project with the National Center for
Biomedical Ontology, we will use NCBO tools for creating and managing
biomedical ontologies to develop an ontology that describes ECG data
collection protocols, features of time-evolving ECG waveforms, ECG
analysis algorithms, and data derived from analysis of the ECG. NCBO
tools will also be used to integrate this ontology into an ECG data
management and analysis portal being developed as part of the CVRG
project. This project is important because every clinical study  of CV
disease collects ECG data in conjunction with one or more data types.
The ability to annotate and share ECG data will make it possible to
perform data quality assessment, reproduce study results, and integrate
data across multiple studies. The ability to unambiguously label and
describe variables derived from the ECG will make it possible to apply
machine learning algorithms and discover features in these and other
data that support diagnosis of heart disease, prediction of risk for
sudden cardiac death, and suitability  of patients for implantable
cardioverter defibrillator placement.



Topic: NCBO Seminar Series 
Date: The 2nd Wednesday of every 1 months, from Wednesday, October 8,
2008 to no end date 
Time: 10:00 am, Pacific Daylight Time (GMT -07:00, San Francisco) 
Meeting Number: 929 613 752 
Meeting Password: ncbomeeting 

Please click the link below to see more information, or to join the
meeting. 

------------------------------------------------------- 
To join the online meeting 
------------------------------------------------------- 
1. Go to
https://stanford.webex.com/stanford/j.php?ED=108527772&UID=0&PW=1dedb51d
075f5e5f56514f05550b 
2. Enter your name and email address. 
3. Enter the meeting password: ncbomeeting 
4. Click "Join Now". 

------------------------------------------------------- 
To join the teleconference
------------------------------------------------------- 
Call-in toll number (US/Canada): 1-650-429-3300 
Global call-in numbers:
https://stanford.webex.com/stanford/globalcallin.php?serviceType=MC&ED=1
08527772&tollFree=0 

------------------------------------------------------- 
For assistance 
------------------------------------------------------- 
1. Go to https://stanford.webex.com/stanford/mc 
2. On the left navigation bar, click "Support". 

You can contact me at: 
skanel at stanford.edu 
1-650-736-0786 

To add this meeting to your calendar program (for example Microsoft
Outlook), click this link: 
https://stanford.webex.com/stanford/j.php?ED=108527772&UID=0&ICS=MI&LD=1
&RD=2&ST=1&SHA2=xNb8XZd6k7YhDMxTSZUEzeYlqD3FNMzKi14nnCJUm/o= 

The playback of UCF (Universal Communications Format) rich media files
requires appropriate players. To view this type of rich media files in
the meeting, please check whether you have the players installed on your
computer by going to
https://stanford.webex.com/stanford/systemdiagnosis.php 

Sign up for a free trial of WebEx 
http://www.webex.com/go/mcemfreetrial 

___________________________________________
Shauna B. Kanel
Communications Coordinator & Web Editor
Stanford University
Division of Biomedical Informatics Research (BMIR)
National Center for Biomedical Ontology (NCBO)
 
Medical School Office Building, Room X-217
251 Campus Drive | Stanford, CA 94305-5101
(650) 736-0786 | skanel at stanford.edu

 

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