百时美
药物开发
药品
药物发现
药品审批
医学
药理学
生物信息学
内科学
生物
作者
Kalyanee Viraswami-Appanna,Joan Buenconsejo,Charlotte A. Baidoo,Ivan S. F. Chan,Daniel Li,Mariann Micsinai-Balan,Ram C. Tiwari,Lu Yang,Venkat Sethuraman
标识
DOI:10.1016/j.drudis.2024.103952
摘要
This paper focuses on the use of novel technologies and innovative trial designs to accelerate evidence generation and increase pharmaceutical Research and Development (R&D) productivity, at Bristol Myers Squibb. We summarize learnings with case examples, on how we prepared and continuously evolved to address the increasing cost, complexities, and external pressures in drug development, to bring innovative medicines to patients much faster. These learnings were based on review of internal efforts toward accelerating R&D focusing on four key areas: adopting innovative trial designs, optimizing trial designs, leveraging external control data, and implementing novel methods using artificial intelligence and machine learning.
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