Advanced Search
DSpace@MIT

Personalized medicine, population genetics and privacy : an empirical study of international gene banks

Research and Teaching Output of the MIT Community

Show simple item record

dc.contributor.advisor Fiona E. Murray and Anthony J. Sinskey. en_US
dc.contributor.author Holland, Chad D. (Chad Darrel) en_US
dc.contributor.other Sloan School of Management. Management of Technology Program. en_US
dc.contributor.other Harvard University--MIT Division of Health Sciences and Technology. en_US
dc.date.accessioned 2006-06-19T17:39:27Z
dc.date.available 2006-06-19T17:39:27Z
dc.date.copyright 2005 en_US
dc.date.issued 2005 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/33089
dc.description Thesis (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.description Includes bibliographical references. en_US
dc.description.abstract The 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.statementofresponsibility by Chad D. Holland. en_US
dc.format.extent 103 p. en_US
dc.format.extent 7472164 bytes
dc.format.extent 7477842 bytes
dc.format.mimetype application/pdf
dc.format.mimetype application/pdf
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights M.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.uri http://dspace.mit.edu/handle/1721.1/7582
dc.subject Harvard University--MIT Division of Health Sciences and Technology. en_US
dc.subject Management of Technology Program. en_US
dc.title Personalized medicine, population genetics and privacy : an empirical study of international gene banks en_US
dc.type Thesis en_US
dc.description.degree S.M.M.O.T. en_US
dc.description.degree S.M. en_US
dc.contributor.department Harvard University--MIT Division of Health Sciences and Technology. en_US
dc.contributor.department Sloan School of Management. Management of Technology Program. en_US
dc.identifier.oclc 62172528 en_US


Files in this item

Name Size Format Description
62172528.pdf 7.126Mb PDF Preview, non-printable (open to all)
62172528-MIT.pdf 7.131Mb PDF Full printable version (MIT only)

This item appears in the following Collection(s)

Show simple item record

MIT-Mirage