Leveraging AI for Clinical Trial Efficiencies

Discover an informative webinar delving into how artificial intelligence (AI) is used to optimize key aspects of clinical trial management.

During this webinar, the speakers will discuss the application of AI in clinical site selection, forecasting and resourcing and patient recruitment and enrollment. Attendees will learn about innovative AI solutions that can revolutionize these critical areas, enabling faster, more accurate and confident decision-making processes.

Furthermore, they will focus on required strategic investments in all aspects of the clinical study lifecycle. By adopting a comprehensive approach, the PPD clinical research business of Thermo Fisher Scientific aims to provide a connected experience that maximizes efficiencies, prioritizes quality and minimizes potential bottlenecks.

As clinical trials become increasingly complex, particularly with decentralized trials and rare disease studies, advanced AI tools are essential for effectively managing these challenges. In this webinar, attendees will get to discover how AI capabilities can address these complexities and ensure streamlined operations and improved study outcomes.

In addition, the speakers will discuss the integration of generative AI into workflows. By leveraging generative AI, content drafting for regulatory documents and training materials can be accelerated. While maintaining regulatory standards with human oversight, generative AI serves as a valuable workflow acceleration tool, enhancing efficiency and productivity.

Join this webinar and gain valuable insights into using AI for clinical trials for improving trial efficiencies, ultimately driving better outcomes and advancing medical research more quickly.

Speakers

Dave Hiltbrand, Associate Director of Data Science, PPD clinical research business of Thermo Fisher Scientific

Dave Hiltbrand has a master’s degree in analytics from the Institute for Advanced Analytics at North Carolina State’s graduate school. He has worked in a biology research lab at University of North Carolina Wilmington and implemented novel machine learning models to aid rural farmers in third-world countries to identify the best crop hybrids. Dave joined the clinical innovation team as a data scientist in 2019 and worked as a primary author on applications designed to aid clinical study site selection. His focus at Thermo Fisher is using advanced machine learning models to predict study startup timelines and patient arrival times. Dave is now an Associate Director of Data Science in Business Insights overseeing a portfolio of projects ranging from feasibility site selection to bid/proposal forecast planning.

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Nikki McLean, Operational Strategy Senior Lead, PPD clinical research business of Thermo Fisher Scientific

Nikki McLean has a master’s degree in clinical pharmacology from the University of Glasgow where she then worked in population pharmacokinetic data analysis. Nikki joined the CRO industry as a clinical research associate in 1997, and then joined the PPD clinical research business in 1999 where she progressed to project management and oversight with a short stint in the project manager standards group before transitioning to an Operational Strategy Lead in 2016. Nikki has always been interested in system and software implementation and was involved in the identification and roll out of a project portfolio management system for managing resourcing and finances. For many years now, Nikki has been championing the need for better tools and analysis of startup timelines and enrollment forecasting. Since being involved in operational strategy, she has put together strategies for 500+ RFPs over 130 different indications spanning neuroscience, ophthalmology and rare disease.

 

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Zhe Rachel Angerer, Patient Recruitment Marketing Operations Senior Director, PPD clinical research business of Thermo Fisher Scientific

Rachel’s team is the future-proofed engine empowering clinical trials, by finding and retaining quality patients, delivering the cohesive message through the channel of patient’s choice, in the most cost-efficient way.  With 25 years of end-to-end consumer marketing experience globally, Rachel has held leadership roles across Health Care and Financial Services. She is driven by the mission to make people’s lives easier and better, at scale. Using data and technology to simplify problem resolution is her go-to approach. Rachel is multilingual and holds an MBA in Finance from Zicklin School of Business, U.S., and a BA in International Trade from Sichuan University, China.

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