Hi all,
I would like to introduce my open-source project at Stanford, GemIdent:
http://www.gemident.com
http://en.wikipedia.org/wiki/GemIdent
GemIdent specializes in color image segmentation using supervised machine learning. For example, you can use it to locate and count cells in microscopic images:
There's a new database from WHO for tracking new targets for drug discovery for neglected diseases. Not much there yet, but it's sure to grow.
Mat
Dear TSL Members, You are invited to the first annual QB3-UCSF-CDD developing world disease research community meeting scheduled for March 5th 2007 at the UCSF Mission Bay Campus (details below and attached). The collaborative community includes leading experts on developing world infectious disease research from Stanford, UCSF, UC Berkeley, UCLA, UW, SBRI, St. Jude CRH, U. Penn, Univ. of Sydney, and industry too. Hosted by Gladstone Institute and QB3 at the UCSF, Mission Bay Campus 1) Public-Private-Partnerships for Global Health Issues
First Annual Community Meeting
2) “Open” concepts for Collaborative Drug Discovery
Confirmed Speakers:
Symposium – Coffee/Snacks – Demos – Posters – Networking – Wine Reception
Registration is free. To register contact/RSVP to: kgregory@collaborativedrug.com.