Jeremiah G. Tilles

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We describe an artiicial intelligence (AI) system (CTSHIV) that connects the scientiic AIDS literature describing speciic HIV drug resistances directly to the Customized Treatment Strategy of a speciic HIV patient. Rules in the CTSHIV knowledge base encode knowledge about sequence mutations in the HIV genome that have been found to result in drug resistance(More)
Background: A rule-based expert computer program, " Customized Treatment Strategies for HIV " (CTSHIV) has been developed connecting the literature describing specific HIV drug resistant mutations with the patient's genotype. Drug treatment recommendations are made based upon: known drug-resistant mutations, ranking and weighting based upon antiviral(More)
A rule-based expert system, CTSHIV Customized Treatment Strategies for HIV that recommends an individualized treatment strategy for HIV patients is described. Since the HIV virus mutates rapidly, a patient can develop a resistance to particular antiretroviral agents. CTSHIV addresses this problem by recommending a treatment strategy that avoids(More)
We describe an artiicial intelligence (AI) system (CTSHIV) that connects the scientiic AIDS literature describing speciic HIV drug resistances directly to the Customized Treatment Strategy of a speciic HIV patient. Rules in the CTSHIV knowledge base encode knowledge about sequence mutations in the HIV genome that have been found to result in drug resistance(More)
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