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San Diego Convention Center

Jun 16, 2024 7:00 AM - Jun 20, 2024 3:00 PM

111 W Harbor Drive, , San Diego, CA 92101 , USA

DIA 2024 Global Annual Meeting

Join us at the premier life sciences conference, celebrating our 60th anniversary! Discover 180+ sessions on Cell and Gene Therapy, Decentralized Clinical Trials, AI, ICH, and more. Get ready to tackle challenges, improve skills, network, and drive change for healthcare at DIA2024.

Recruitment Optimization in Clinical Trials: Looking Towards an Adaptive Future

Session Chair(s)

Raviv  Pryluk, PhD

Raviv Pryluk, PhD

PhaseV, United States

Recruitment is a significant building block of clinical trials and also one of the greatest challenges, often having a direct influence on trial success or failure. In-efficiencies associated with patient recruitment may lead to prolonged trial durations, increased costs, and delays in bringing effective treatments to market. This session will explore methods for predicting the effect of different recruitment patterns on trial progression, outcomes and likelihood of the trial to meet its goals and present newly available technologies and trial design measures for successfully advancing recruitment.

Learning Objective : Describe the considerations of recruitment rate optimization in clinical trials and adaptive trials in particular; Discuss the available technologies and methodologies for optimizing recruitment via dedicated software, patient advocacies, databases and registries and the evaluation of trade-offs between trial duration and sample size requirements within a variety of adaptive trial designs as compared with standard fixed designs.

Speaker(s)

Tanya  Russell, PhD, MS, RPh

Time is Life: Leveraging Innovation in Clinical Trials for Rapid Recruitment

Tanya Russell, PhD, MS, RPh

Pfizer Inc, United States

Vice President, Integration Lead

Jenny  Higley, MS

Potential for Leveraging AI/ML in Pre-Trial Recruitment Modelling

Jenny Higley, MS

Biogen, United States

Director, Head of Feasibility CoE

Sanghita  Bhattacharya, PhD

Harnessing the Power of Site Engagements Using Data-Driven Clinical Analytics

Sanghita Bhattacharya, PhD

Johnson & Johnson Innovative Medicine, United States

Director Data Science , Feasibility and Analytics, Clinical Operations

Raviv  Pryluk, PhD

Optimizing Clinical Trial Site Selection: Balancing Recruitment Efficiency and Population Diversity

Raviv Pryluk, PhD

PhaseV, United States

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