With more rare and critical diseases, medical diagnoses and disease prevention constitutes one of the challenging and at the same time most difficult fields in modern health care. Using interdisciplinary approaches where different areas of research such as biology, chemistry, mathematics, and computer science meet together in order to analyze, understand and reconstruct complex medical processes, those projects typically achieve excellent research results but are inefficientand unfeasible for daily medical workflows. The EU funded project ViroLab should address this important issue by combining different scientists together into one project in order to design and develop a working platform for researchers and especially for doctors, which facilitates medical knowledge discovery and decision support for HIV drug resistance for daily clinical usage. In this paper, we will present the overall concept of the ViroLab project. The core functionalities will be described in detail and shall give the readers an idea of an innovative system for disease prevention, diagnosis and treatment based on integrated biomedical data and information on several levels.
[1]
C. Boucher,et al.
Implications of antiretroviral resistance on viral fitness
,
2001,
Current opinion in infectious diseases.
[2]
Marian Bubak,et al.
VIROLAB - A virtual Laboratory for Decision Support in Viral Diseases Treatment
,
2005
.
[3]
S. Deeks,et al.
Treatment of antiretroviral-drug-resistant HIV-1 infection
,
2003,
The Lancet.
[4]
Amalio Telenti,et al.
Mortality in the Swiss HIV Cohort Study (SHCS) and the Swiss general population
,
2003,
The Lancet.
[5]
Tobias Straub,et al.
Grid Security Infrastructure
,
2006
.
[6]
Jim Basney,et al.
Identity Federation and Attribute-based Authorization through the Globus Toolkit, Shibboleth, Grid
,
2006
.