Enter a new era of clinical development planning. Use the power of “big data” and machine learning to generate more accurate plans that embrace uncertainty. Learn how to improve your development planning strategy while reducing trial costs and durations. Live: Thursday, Jan. 30, 2020 at 11am EST | 10am PST | 4pm GMT | 5pm CET On demand available after airing until Jan. 30, 2021. Register free
With larger pipelines, and a complex clinical trial landscape, it’s difficult for manufacturers to build a single development plan, let alone try to optimize it. Benchmark data has historically been limited and manufacturers rely heavily on their own prior experiences. But the growth of “big data” and machine learning has provided new ways to optimize clinical development strategy.
In this webinar, we’ll discuss how “big” clinical and commercial data feeds, as well as powerful machine learning algorithms have fundamentally changed clinical development planning. We’ll discuss case studies showing the impact these new approaches have had in the industry. And we’ll show how a new breed of software tools can help internal stakeholders make better decisions more quickly.
Learn how to benchmark your clinical development plans against a new industry database of development costs and timing
Improve the accuracy of your clinical development plan, and provide additional alternatives to your leadership team for more informed decision-making
Compare what-if scenarios and conduct ranges analysis to fully understand the key drivers for development plan costs and timing
Speakers: Rick Johnston, Ph.D., Senior Software Solutions Lead, IQVIA
David Wolter, MBA, VP Consulting Services, IQVIA
Time and date: Thursday, Jan. 30, 2020 at 11am EST | 10am PST | 4pm GMT | 5pm CET
On demand available after airing until Jan. 30, 2021.