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{bio,medical} informatics

Monday, November 18, 2002

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find related articles. powered by google. BioMedNet Paying the price for drug company profits
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"It has never been a secret that the pharmaceutical industry is a profit-making industry. It is also a well-known fact that the citizens of poorer nations, for the most part, don't benefit from pharmaceutical advances, because they can't afford to them. This is still the case, according to David Henry and Joel Lexchin, writing in the Lancet. The pair claims that although the industry does provide notable and charitable contributions of its products to poorer nations, it has begun stressing marketing to rich nations to maximize profits. The authors also doubt industry claims that high drug prices are needed to earn a return on high research and development costs.

Reference: Henry, D. and Lexchin, J. 2002. The pharmaceutical industry as a medicines provider. Lancet 360(9435):1590-1595."

find related articles. powered by google. The Boston Globe The Costly Case of the Purple Pill

"But given the sheer numbers involved and its still-evolving nature, the Purple Pill may be our best case study of the forces driving up prescription drug costs. It's the story of a wondrous medical advance that brought relief to millions and significantly reduced the need for surgery. But it's also the story of the steroid-injected marketing muscle that has ensnared, among others, Boston's most respected hospitals and the exhaustive legal maneuvers that have delayed competition, helping to drive up costs for you, me, and Gertrude.

"This is a locomotive that's barreling down the tracks, and you either get out of the way, get on board, or get squished," says Dr. James Richter, a Boston gastroenterologist."

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Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.


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