<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-20T22:02:04Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/111315" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/111315</identifier><datestamp>2022-02-01T17:58:36Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Andrew W. Lo.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Kim, Esther S</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Technology and Policy Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Engineering Systems Division</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Institute for Data, Systems, and Society</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Technology and Policy Program</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2017-09-15T15:28:45Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2017</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1003289786</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2017.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 119-125).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Many obstacles contribute to the uncertainty and risk associated with early drug development, leading to the "valley of death" in which promising drug candidates experience difficulties in reaching the market. These challenges have serious consequences for patient populations facing significant unmet medical needs. In this paper, we highlight three models that offer innovative financing mechanisms or new business models for early stage biopharmaceutical assets. Specifically, we evaluate and profile examples of venture philanthropy and academic-industry partnerships as sources of financial capital for early stage assets. In addition, we identify a "one-disease" business model in biotechnology that can mitigate risk and accelerate the translation of biomedical research into novel therapeutics. The three examples highlight the potential for creative mission-driven models to speed up drug development and provide capital in the earliest, and often riskiest, stages of drug development. These models are collaborative and leverage the expertise of the various stakeholders in the process, including patient advocates, private sector drug developers, and academic researchers.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Esther S. Kim.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Technology and Policy</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">125 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
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   <dim:field mdschema="dc" element="title" lang="en_US">New financing and business models to accelerate the development of novel therapeutics</dim:field>
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   	&lt;Title>New financing and business models to accelerate the development of novel therapeutics&lt;/Title>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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        	&lt;DisplayName>Kim, Esther S&lt;/DisplayName>
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   	&lt;Abstract>Many obstacles contribute to the uncertainty and risk associated with early drug development, leading to the &amp;quot;valley of death&amp;quot; in which promising drug candidates experience difficulties in reaching the market. These challenges have serious consequences for patient populations facing significant unmet medical needs. In this paper, we highlight three models that offer innovative financing mechanisms or new business models for early stage biopharmaceutical assets. Specifically, we evaluate and profile examples of venture philanthropy and academic-industry partnerships as sources of financial capital for early stage assets. In addition, we identify a &amp;quot;one-disease&amp;quot; business model in biotechnology that can mitigate risk and accelerate the translation of biomedical research into novel therapeutics. The three examples highlight the potential for creative mission-driven models to speed up drug development and provide capital in the earliest, and often riskiest, stages of drug development. These models are collaborative and leverage the expertise of the various stakeholders in the process, including patient advocates, private sector drug developers, and academic researchers.&lt;/Abstract>
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