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Assessment of biotechnologies: a therapeutic monoclonal antibody emerging score

机译:评估生物技术:一种治疗单克隆抗体的出现评分

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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:本文重点介绍使用专家意见的关键因素,以使用分层决策模型在专利水平上选择/等级的出现分数来选择/等级的治疗mAb。分析了与专利局的每个因素相关的六个属性,专利所有者的个人资料和MABS医学相关性。我们的数据显示了作为MAB被认为是新兴的最重要因素的医学相关性。并且,在六个属性中,根据专利地位最重要的是地理覆盖范围和专利范围;对于受让人的个人资料,是批准的毒品的战略联盟和预先存在;对于医学相关性,临床相位性能和MAB细胞机制是最相关的。结果将提供足够的信息,以根据属性重要性定义的出现评分对该领域的任何专利进行排名。我们的数据可以与预测工具相关联,例如专利分析,以改善该行业未来创新途径的识别和预期。

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