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dc.contributor.advisorFiona E. Murray and Anthony J. Sinskey.en_US
dc.contributor.authorHolland, Chad D. (Chad Darrel)en_US
dc.contributor.otherSloan School of Management. Management of Technology Program.en_US
dc.contributor.otherHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.date.accessioned2006-06-19T17:39:27Z
dc.date.available2006-06-19T17:39:27Z
dc.date.copyright2005en_US
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/33089
dc.descriptionThesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology; and, (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2005.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractThe promise of personalized medicine lies in its potential to fundamentally change healthcare. In the past, pharmaceuticals were prescribed on a "one size fits all" basis-patients with certain disease phenotypes were given what were thought to be appropriate drugs. There is growing evidence however that the effectiveness of these drugs may differ by individual and by sub-group; presumably due to fundamental genetic differences in disease and metabolic pathways. Drugs like Herceptin, Gleevec and Iressa are part of an emerging trend in the biopharmaceutical arena of drugs that are accompanied by genetic diagnostic tests and prescribed only for patients with genotypes in which the agents are most effective.en_US
dc.description.statementofresponsibilityby Chad D. Holland.en_US
dc.format.extent103 p.en_US
dc.format.extent7472164 bytes
dc.format.extent7477842 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.subjectManagement of Technology Program.en_US
dc.titlePersonalized medicine, population genetics and privacy : an empirical study of international gene banksen_US
dc.typeThesisen_US
dc.description.degreeS.M.M.O.T.en_US
dc.description.degreeS.M.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.contributor.departmentSloan School of Management. Management of Technology Program.en_US
dc.identifier.oclc62172528en_US


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