臨床開発への支障: AI、クラウド、および最新のデータアーキテクチャは、いかに臨床試験を変えるか

Today, more than ever, pharmaceutical companies are under great pressure to run their business in a way that makes drug development processes more efficient and cost-effective. But, clinical trial sponsors face increasing challenges based on the need for more complex study protocols and larger digitized data sets to support the next medical breakthrough. Coupling this with the geographic growth of clinical trials, it’s no wonder humans are struggling to keep up. It’s not just increasing data volume that keeps trial sponsors awake at night. Data velocity, data variety, and data veracity are problems as well.

人工知能、クラウド、最新のデータアーキテクチャがいかに収束して、研究者の直面する急増するデータ課題に対応し、臨床試験プロセスの各段階を変え、より効率的な臨床開発と市場投入への時間短縮につなげるかを、こちらでお読みいただけます。

ERT_Disrupting-clinical-development.JCS_March 2019
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