You have entered the IISP: Interactive Information System on Pathogenomics
If you would like to insert information about your research or research group, please click to the following link to download the form. After filling it out, please send back to firstname.lastname@example.org or email@example.com.
Here you will find information about Research groups in the PathoGenoMics fields from the ERA-NET partner countries (Austria, Finland, France, Hungary, Israel, Latvia, Portugal, Slovenia and Spain).
This information is supposed to support cooperation between researchers from different European countries
and thus enhance the development of a European Research Area for PathoGenoMics .
The following information is available and can be searched for:
- researcher names
- Institution of the respective researcher, city and country of his/her institution
- Contact data of the researcher (address, phone, email)
- Research topics and studied microorganisms of the researcher
- Special techniques applied by the researcher
- Potential cooperation topics suggested by the researcher
If you have any comments/questions or if you would like to add some information, please contact firstname.lastname@example.org
|Address:||CNR Institute of Clinical Physiology, Via Moruzzi, 1 56123 Pisa-Italy|
|Institution:||CNR Institute of Clinical Physiology|
|Pathophysiology of Cardiovascular disease, Informatics in Medicine, Epidemiology and genetic of cardiovascular disease, database in medicine|
|Special methods / technologies:|
|The computerized CNR database has been keeping records, during the past thirty years, on complete clinical and diagnostic characterization of almost 20000 patients. Database allows the classification of representative cohorts of clinical phenotypes, and integrates the biological bank, including serum from more than 1000 patients.Follow up (available for over 98% of all cases): 10 years for all pts.|
|Suggestions for potential research cooperations:|
|Collaborative projects to develop strategies for optimising the integration of existing data, phenotype and genotype data,on complex diseases like ischemic heart disease|