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Assessment of biotechnologies: a therapeutic monoclonal antibody emerging score

机译:生物技术评估:治疗性单克隆抗体新兴评分

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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.
机译:本文着重于利用专家的意见对关键因素进行量化,以开发出出现评分,从而使用分层决策模型在专利级别上选择/排序有前途的治疗性单克隆抗体。分析了与每个因素相关的六个属性,这些因素涉及专利状态,专利拥有者的个人资料和单克隆抗体的医学相关性。我们的数据表明,与医学相关性是单克隆抗体被认为正在出现的最重要因素。并且,在专利状态下的六个属性中,最重要的是地理范围和专利范围;对于受让人而言,是战略联盟和获批毒品的先行;对于医学相关性,临床分期表现和mAb细胞机制最为相关。结果将提供足够的信息,以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。我们的数据可以与诸如专利分析之类的预测工具相关联,以改善对该行业未来创新途径的识别和预期。

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