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Virtual human in HIV drug simulation
Date:1/29/2008

oveney says: This study represents a first step towards the ultimate goal of on-demand medical computing, where doctors could one day borrow supercomputing time from the national grid to make critical decisions on life-saving treatments.

For example, for an HIV patient, a doctor could perform an assay to establish the patients genotype and then rank the available drugs efficacy against that patients profile based on a rapid set of large-scale simulations, enabling the doctor to tailor the treatment accordingly.

We have some difficult questions ahead of us, such as how much of our computing resources could be devoted to helping patients and at what price. At present, such simulations requiring a substantial amount of computing power might prove costly for the National Health Service, but technological advances and those in the economics of computing would bring costs down.

For the moment, Professor Coveneys group is continuing to look at all the protease inhibitors in a similar way. The VPH initiative, now underway with 72 million euros of initial funding from the EU, will boost collaboration between clinicians and scientists to explore the scope for patient-specific medical treatments based on modern modelling and simulation methods.


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Contact: Jenny Gimpel
j.gimpel@ucl.ac.uk
44-020-767-99726
University College London
Source:Eurekalert

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