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New medications, cancer diagnosis goals of UH engineers with $1M in grants

potential medications to a mixture containing viruses, the GMR sensor array will, in effect, detect whether a drug blocks a particular virus from binding with a cell receptor. If it does, further clinical trials with the drug likely will follow. Because so many sensors can reside in a small area, hundreds even thousands of drug candidates can be screened at once, cutting down the time it takes to bring new drugs to market. In addition to testing the viability of potential drug candidates, the technology being developed by Litvinovs team also may be put to use in other areas of health care.

Though this technology initially is funded for drug development, it can be used for other high-throughput molecular screening applications, such as in cancer studies. Such an application would work in a similar way as the tests for potential drug candidates. A small biological sample suspected of being cancerous would be extracted from a patient using a nearly painless technique fine needle aspiration. Nanoparticles known to bond with that particular form of cancer would then be exposed to the biological sample, and medical professionals would be able to determine if cancer is present depending on whether or not the nanoparticles and biological samples bond. Should bonding occur, the presence of cancerous cells would be confirmed.

The key advantage of such a system, Willson said, is that it would combine the non-invasive nature of fine needle aspiration with the reliability of conventional highly invasive techniques, such as open surgery. This would provide results with far greater accuracy than traditional testing methods.

The way they evaluate fine needle aspiration biopsies for the presence of cancer is by looking at a biological sample under a microscope, relying heavily on the experience of the person evaluating the sample and the quality of the sample, he said. Here, the idea is to automate the process to make it foolproof and
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Contact: Lisa Merkl
lkmerkl@uh.edu
713-743-8192
University of Houston
8-Feb-2007


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