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Canreg5 is a software package for population based cancer registries
Cancer registries need a tool to input, store, check and analyse their data. If these data are also coded and verified in a standard way, it facilitates the production of comparable analyses across registry populations. The main goal of the CanReg5 project is to provide a flexible and easy to use tool to accomplish these objectives.
CanReg5 is a multi user, multi platform, open source tool to input, store, check and analyse cancer registry data.
It has modules to do: data entry,...
MyOscar is a personal health record system. This project contains both the data storage server as well as a client / patient UI for accessing the data. Other data access clients can be / have been written, the Oscar EMR is one such client.
The sourceforge myoscar-users@lists.sourceforge.net is the main mail list and form of communications for this project.
The sourceforge Tickets system is the bug and feature tracker for this project.
The sourceforge git repository is not the...
TMAJ is software for Tissue MicroArrays (TMA's). Patients, specimens, blocks, slides, cores, images, and scores can all be stored and viewed. Features include advanced security, custom dynamic fields, and an image analysis program.
Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.
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Life Science Identifier (LSID) resolution protocol, to locate biologically significant data over a network, within middle-ware providing a client A.P.I. for Life Science applications, and server software, for Industry data providers.
TeleMedMail allows doctors to send secure clinical cases via email, alleviating the shortage of specialists in remote areas. TMM can send cases directly to a specialist, or to a server that stores cases in a SQL database with secure web access.
The i2b2 Center is developing a scalable informatics framework that will bridge clinical research data and the vast data banks arising from basic science research in order to better understand the genetic bases of complex diseases.