杠杆(统计)
积极倾听
社会化媒体
数据科学
计算机科学
药物开发
药物发现
透视图(图形)
过程(计算)
管理科学
药品
工程伦理学
知识管理
心理学
工程类
医学
人工智能
药理学
生物信息学
万维网
生物
操作系统
沟通
作者
Ana Lucia Schmidt,Raul Rodriguez-Esteban,Juergen Gottowik,Mathias Leddin
标识
DOI:10.1016/j.drudis.2022.01.015
摘要
Social media listening has been increasingly acknowledged as a tool with applications in many stages of the drug development process. These applications were created to meet the need for patient-centric therapies that are fit-for-purpose and meaningful to patients. Such applications, however, require the leverage of new quantitative approaches and analytical methods that draw from developments in artificial intelligence and real-world data (RWD) analysis. Here, we review the state-of-the-art in quantitative social media listening (QSML) methods applied to drug discovery from the perspective of the pharmaceutical industry.
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