MMPathIC Text Mining Workshop - Professor Sophia Ananiadou
|Starts:||12:00 8 Feb 2019|
|Ends:||15:00 8 Feb 2019|
|What is it:||Workshop|
|Organiser:||Faculty of Biology, Medicine and Health|
|Who is it for:||University staff|
Professor Sophia Ananiadou leads the Manchester Molecular Pathology Innovation Centre's 'Text and Opportunity Mining' work strand - set up to train text mining tools to recognise different types of information relating to biomarkers in large volumes of text.
This technology (and a number of other text mining technologies) is ready for validation in partnership with clinicians and industrial partners with specific use cases.
Here are some of the systems which may be of interest to clinicians and industrial partners:
• - RobotAnalyst: http://www.nactem.ac.uk/robotanalyst/
• - Thalia: http://www.nactem.ac.uk/Thalia/
• - FACTA: http://www.nactem.ac.uk/facta/
These systems are the frontend of a number of text mining tools working behind the scenes, which would benefit from embedding with clinical teams with specific questions and project ideas.
This workshop is for clinical and industry colleagues who would like to attend a showcase of these innovative text mining approaches for biomarker discovery. There will also be potential to discuss collaborative grant applications where this enabling technology will be an asset.
Lunch will be provided.
12:00 - 12:40 Lunch & Registration
12:40 - 12:45 Welcome (Dr Katherine Boylan - Operations Director for MMPathIC)
12:45 - 13:15 An Introduction to Text Mining (Professor Sophia Ananiadou - School of Computer Science)
13:15 - 14:00 Showcase of Text Mining Approaches for Biomarker Discovery (Professor Sophia Ananiadou)
14:00 - 15:00 Open Discussion (coffee will be served)
- Potential collaborations
- Grant ideas
- Next steps
Registration - Please register here : https://www.eventbrite.co.uk/e/mmpathic-text-mining-workshop-tickets-53534367735
Find out more about MMPathIC: www.manchester.ac.uk/mmpathic
Questions: Email email@example.com
Travel and Contact Information
Manchester Science Partnerships Citylabs 1.0