Assessment of biotechnologies: a therapeutic monoclonal antibody emerging score

C. G. Pereira, J. Lavoie, Edwin Garces, Marina Dabic, G. Porto, T. Daim
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引用次数: 1

Abstract

This paper focuses on quantifying critical factors using expert's opinions to develop an emergence score to select/rank promising therapeutic mAbs on a patent-level using hierarchical decision model. Six attributes related to each factor concerning the patent status, patent owner's profile and the mAbs medical relevance were analyzed. Our data shows the medical relevance as the most important factor for a mAb to be considered emerging. And, among the six attributes, the most important under the patent status were geographic coverage and patent scope; for the assignee's profile, were strategic alliances and preexistence of approved drugs; and for medical relevance, the clinical phase performance and the mAb cellular mechanism were the most relevant. The results will provide enough information to rank any patent related to the field according to the emergence score defined by the attributes importance. Our data can be associated with forecasting tools such as patent analysis to improve the identification and anticipation of future innovations pathways in this sector
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生物技术评估:治疗性单克隆抗体新兴评分
本文的重点是利用专家的意见量化关键因素,开发一个涌现评分,以在专利水平上使用分层决策模型选择/排名有前途的治疗性单克隆抗体。分析了与专利状态、专利权人概况和单克隆抗体医学相关性相关的每个因素的六个属性。我们的数据显示,医学相关性是考虑出现单抗的最重要因素。在6个属性中,地理覆盖范围和专利范围对专利状态影响最大;对于受让人的简介,是战略联盟和已批准药物的预先存在;在医学相关性方面,临床阶段表现和单抗细胞机制最相关。结果将提供足够的信息,根据属性重要性定义的出现分数对与该领域相关的任何专利进行排名。我们的数据可以与专利分析等预测工具相关联,以提高对该领域未来创新途径的识别和预测
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