Assessing Risk and Return: Personalized Medicine Development & New Innovation Paradigm

F. Douglas, Lesa Mitchell
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引用次数: 1

Abstract

In making a credible business case for investors and industry stakeholders to view personalized medicine as a viable business model, we not only must create excitement in the promise of personalized medicine, but also must find viable alternatives in addressing the barriers or risks surrounding the biomedical discovery and development models of today. Some of the risks we identify include IP issues, difficulties in validating targets, ability to rapidly achieve proof of concept, navigating the famed "Valley of Death," and inefficiencies in the current clinical development process, as well as the need for new industry business models that predict an attractive return on investment. In this paper; however, we limit our discussion to the potential for personalized medicine to create efficiencies in the preclinical and clinical phases of drug innovation and generate economic returns. We also introduce unique industry collaboration mechanisms with nonprofit disease-focused organizations that serve an important role in de-risking aspects of drug discovery and clinical development in their respective disease sectors, as well as bridging early-stage funding needs. These collaborations and de-risking strategies could provide an important model for the further development and growth of the personalized medicine sector. With respect to definition, we shall use the more general term "stratified medicine," of which personalized medicine is the individualized member of a spectrum that includes empirical medicine, stratified medicine, and personalized medicine. In the latter two, a biomarker is critical in identifying sub-populations or strata of patients that can benefit from a therapeutic intervention that is related to that biomarker, or develops a therapy that specifically benefits an individual who possesses that biomarker. A biomarker also may identify strata of patients that might be susceptible to side effects from a particular therapy.
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风险与回报评估:个体化医疗发展与创新范式
为了让投资者和行业利益相关者相信个性化医疗是一种可行的商业模式,我们不仅要让人们对个性化医疗的前景感到兴奋,还必须找到可行的替代方案,以解决当今生物医学发现和开发模式的障碍或风险。我们发现的一些风险包括知识产权问题、验证目标的困难、快速实现概念验证的能力、穿越著名的“死亡之谷”的能力、当前临床开发过程中的低效率,以及对预测有吸引力的投资回报的新行业商业模式的需求。在本文中;然而,我们的讨论仅限于个性化医疗在药物创新的临床前和临床阶段创造效率并产生经济回报的潜力。我们还与以疾病为重点的非营利组织建立了独特的行业合作机制,这些组织在各自疾病领域的药物发现和临床开发的降低风险方面发挥了重要作用,并弥合了早期的资金需求。这些合作和降低风险战略可以为个性化医疗部门的进一步发展和增长提供一个重要的模式。在定义方面,我们将使用更通用的术语“分层医学”,其中个性化医学是包括经验医学、分层医学和个性化医学在内的光谱中的个性化成员。在后两种情况下,生物标志物对于识别亚群体或患者阶层至关重要,这些患者可以从与该生物标志物相关的治疗干预中受益,或者开发一种专门有益于拥有该生物标志物的个体的治疗。生物标志物还可以识别可能易受特定治疗副作用影响的患者阶层。
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Assessing Risk and Return: Personalized Medicine Development & New Innovation Paradigm The Myth of the Disappearing Business Bankruptcy
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