*** Tuesday, February 23, 2021 at 1pm EST | 12pm CST | 10am PST *** Innovative machine learning techniques show great promise in helping life science companies identify and rectify systemic inefficiencies, much as they have in the automotive, financial services, insurance, and other industries. *** On demand available after final airing until Feb. 23, 2022 ***
The increasing complexity and spiraling costs of running clinical trials have forced life science organizations to renew their focus on improving operational efficiencies, particularly as the industry moves to embrace personalized medicine, with its lower per-patient revenue model.
There’s no silver bullet, of course. But innovative machine learning techniques show great promise in helping life science companies identify and rectify systemic inefficiencies, allowing them to learn and adapt.
In the automotive industry this innovative approach has propelled Tesla to become the leading car company based on market capitalization, dwarfing other automobile giants in just over 15 years.
Can machine learning bring about the same transformation to the pharmaceutical industry?
Key Learning Objectives:
In this webcast we will explore:
Speakers: Artem Andrianov, CEO, Cyntegrity
Rohit Nambisan, President, Lokavant
Marcy Kravet, Head, Operational Design Center, EMD Serono, an affiliate of Merck KGaA, Darmstadt, Germany
A.J. Triano, EVP, Customer Experience Strategy, Syneos Health
Elvin Thalund, Director, Industry Strategy, Oracle Health Sciences
Sponsor: Oracle Health Sciences
Time and Date: Tuesday, February 23, 2021 at 1pm EST | 12pm CST | 10am PST
On demand available after final airing until Feb. 23, 2022