How Machine Learning Can Help Improve the Operational Efficiency of Clinical Trials

Register free: https://www.appliedclinicaltrialsonline.com/act_w/machine_learning

Event Overview:
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:

• What is required of life science companies to make machine learning a reality? Is it just technical expertise?
• What are the benefits and challenges of implementing machine learning?
• How will machine learning impact clinical staff, trial quality, risk management, patient engagement, costs, and site activations?
• How can machine learning help clinical researchers make more precise predictions and improve their daily activities now, as well as in the future?

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

Register free: https://www.appliedclinicaltrialsonline.com/act_w/machine_learning