As QbD matures, so do IT offerings that bill themselves as the answer to drug manufacturers' drug development prayers. Manufacturers' challenge is clear: how do we take all our disparate, siloed R&D data from past and present and (cheaply and easily) use it to leverage our ongoing development efforts? As the ability of software to integrate and manipulate data from multiple formats improves, this massive challenge becomes more of a reality.
Of course, there is money to be made in bringing order to chaotic drug development data, as is evidenced by the companies getting into the market. Last week, I talked with Arvindh Balakrishnan about Oracle's efforts, and before that spoke with Blue Reference's Paul van Eikeren about his company's QbD IT consortium.
Microsoft looms large as well, and today we posted my interview with Jim Karkanias, Senior Director of Applied Research and Technology for Microsoft Health Solutions Group, about its Amalga Life Sciences solution.
Amalga is Microsoft’s attempt to make drug R&D data readily available, integrated, and robust, with the advantage that it leverages the Office format that is familiar to virtually everyone within a given organization. In the interview, Karkanias uses the example of a multidisciplinary team that is tasked with performing a gene expression study of a certain disease to illustrate how R&D will realize Amalga's potential. The fact that Amalga integrates relational and graphical data is what sets it apart, Karkanias says.
Merck is one of the companies helping Microsoft to develop Amalga LS. We'd love to hear more from anyone who's had experience with those solutions from the companies mentioned above, or other companies in the QbD IT space as well.
--Paul Thomas
Monday, August 24, 2009
Can Microsoft Fix What Ails QbD Efforts?
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Unless we understand fundamentals of chemical interaction and can completely control on them, IT will not get us to QBD.
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