by Walter Jessen on Tuesday, January 12, 2010 | 4 comments
Here at NGS, we’re getting reading for the ScienceOnline2010 conference this coming weekend. I’ll be in RTP on Thursday evening and will be posting updates here as well as on my personal Twitter account.
Graham posted some great tips for those attending the conference virtually over at his blog yesterday. To help keep you connected with the conference without actually being there, we’ve added the ScienceOnline2010 Twitter hashtag (#scio10) feed to the NGS sidebar. This way, everytime you visit NGS over the weekend, you can easily see what’s being talked about.
It’s simple to post automatic updates from the ScienceOnline2010 hashtag feed on your WordPress blog. The code below will import and display items using the built-in WordPress function, wp_rss(), which provides WordPress with feed-fetching and feed-parsing functionality. All you need to do is place the following code below (download here) where you want the feed displayed within your theme template file (e.g., sidebar.php for the homepage or sidebarsingle.php for single article pages). You can customize the number of items posted on line 11.
For FriendFeed users, we’ve also added real-time discussion from the ScienceOnline2010 FriendFeed group further down the sidebar.
Are you a twitter user? Tweet this!
Tags:
attendance,
conference,
feed,
FriendFeed,
hashtag,
ScienceOnline2010,
scio10,
sidebar,
twitter,
virtual,
wordpress
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by Hope Leman on Friday, November 6, 2009 | 5 comments
CureHunter is a web accessible, fully integrated scientific search, data retrieval and analysis engine. Developed by a team of scientists with expertise in medical data mining, artificial intelligence software development, computational linguistics and computational biology, CureHunter “reads” the entire U.S. National Library of Medicine Medline Archive and automatically extract and quantifies the evidence for successful clinical outcomes of all known drugs for all known human diseases.
Hope had an opportunity to talk with Judge Schonfeld, CEO and Chief Scientist of CureHunter. In part II of their interview below, Hope focuses on the users and uses of CureHunter; Judge discusses the differences between CureHunter and Wolfram|Alpha, and compares search results from CureHunter to novo|seek, GoPubMed and PubMed.
(more…)
Tags:
bioinformatics,
computational linguistic model,
CureHunter,
data mining,
discover,
disease,
drugs,
EMR,
evidence-based medicine,
extraction,
graph theoretical ontology,
knowledge engine,
medical informatics,
medical search,
pharma,
semantic search,
semantic web,
Stephen Wolfram,
Wolfram|Alpha
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by Hope Leman on Thursday, November 5, 2009 | 2 comments
CureHunter is a web accessible, fully integrated scientific search, data retrieval and analysis engine. Developed by a team of scientists with expertise in medical data mining, artificial intelligence software development, computational linguistics and computational biology, CureHunter “reads” the entire U.S. National Library of Medicine Medline Archive and automatically extract and quantifies the evidence for successful clinical outcomes of all known drugs for all known human diseases.
Hope had an opportunity to talk with Judge Schonfeld, CEO and Chief Scientist of CureHunter. In part I of their interview below, Judge talks about the development of CureHunter, the definition of “autonomous search” and the difference between CureHunter and other authoritative online reference services.
(more…)
Tags:
analysis engine,
artificial intelligence software developement,
computational biology,
computational linguistics,
CureHunter,
data retrieval,
diseases,
drugs,
expert biomedical system,
medical data mining,
Medline,
ontology,
search,
successful clinical outcomes,
taxonomy
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