How AI is Helping to Handle the Onslaught of Clinical Trials Data
Summary
In this article, Saama's Chief Technology Officer, Lisa Moneymaker, writes about how AI technology could be implemented to help data managers keep track of all the data coming in from clinical trials, explaining how AI technology will change the pharma industry as more and more companies race to be the first to reach FDA approval.- Author Company: Saama
- Author Name: Lisa Moneymaker
- Author Website: https://www.saama.com/
Over the past decade, data volume has increased threefold, according to the Tufts Center for the Study of Drug Discovery (CSDD). All of this data needs to be collected, secured and analyzed — so newer, better medications can be developed to help patients around the world.
Traditional (read: manual) approaches to cleaning and monitoring data simply can’t scale — and the status quo of those processes and systems are coming under greater scrutiny. This has created a bottleneck that hinders the advancement of medicine. Newer methodologies that could improve quality and move drugs to market faster — with fewer resources — are becoming more appealing.
In this article, Saama's Chief Technology Officer, Lisa Moneymaker, writes about how AI technology could be implemented to help data managers keep track of all the data coming in from clinical trials, explaining how AI technology will change the pharma industry as more and more companies race to be the first to reach FDA approval.
