A Grid-based HIVExpert System

Introduction andmotivation Thispaperaddresses grid-based integration and access ofdistributed datafrominfectious disease patient databases, literature onin-vitro andin-vivo pharmaceutical data,mutation databases, clinical trials, simulations andmedical expert knowledge. Artificial Intelligence andgridtechnology isusedto abstract knowledge fromthedataandprovide the physicians withadaptive interactive advice on treatment applied todrugresistant HIVAnimportant aspect ofourresearch istouseavariety ofstatistical andnumerical methodstoidentify relationships betweenHIV genetic sequences and antiviral resistanc'e toinvestigate consistency ofresults. Theoutput oftheproblem-solving environment (PSE) consists ofaprediction ofthedrugsensitivity ofthe virus, generated bycomparing theviral genotype toa relational database which contains alarge number of phenotype-genotype