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Pharmaceutical Discovery, Sep 1, 2005 
Can Medical Image Analysis Change the Economics of Drug Development?
Edward Ashton

Cover Story

Can Medical Image Analysis Change the Economics of Drug Development?
By Edward Ashton
In the past decade, medical science has made great strides toward the understanding of cellular biochemistry and the mechanisms of disease. But as basic science has blossomed with the sequencing of the genome and the advent of proteomics, the applied sciences have failed to keep pace. Despite tremendous innovation in the methods used to derive new compounds, the prevailing methods for testing them have remained essentially the same for decades. A disease state is induced in a cohort of laboratory animals — tumor cells are injected under the skin, for example — and later the experimental treatment is administered to some or all of the subjects. After a period of weeks or months, the animals are sacrificed and a pathologist makes an assessment of disease progression or regression.

The Microscale Laboratory

A History of DNA Microarrays
By Tom A. van de Goor
Each human cell contains an estimated 30,000 genes. At birth these genes are present and, unless mutations occur, remain stable during the person's entire life. The genetic make-up determines what a cell can do and whether there is an inherent susceptibility to a particular disease.

Discovery by Design

On Predicting Side Effects and the Limitations of Rational Drug Design
By Lukas K. Buehler
What should be surprising to researchers in drug development is how much we still depend on trial and error stages.

Microarrays on the Spot

The Importance of Introducing Gene Expression Analysis Into Pharmacological Development
By Joseph Monforte
While it is important to observe more than one gene, there are no 30,000-gene diseases, nor are there compounds that affect 30,000 genes

Articles

Using Microarrays to Detect Disease and Tailor Therapy
By Rob Lipshutz
Starting in the 1990's, a genome sequencing revolution began that propelled research into the modern genetic era. Inexpensive, reliable, and automated DNA sequencing methods allowed scientists to sequence the complete genomes of organisms ranging from lowly bacteria and viruses to higher plants, animals and humans. In the wake of this flood of information, we are now faced with the far more daunting task of determining how knowledge of billions of nucleotide bases can be put to practical use to improve human health and treat disease